subject:(search engine)

University of Cincinnati

1. FISTER, JUSTIN M. CORRELATION ANALYSIS OF ON-PAGE ATTRIBUTES AND SEARCH ENGINE RANKINGS.

Degree: MS, Engineering : Computer Science and Engineering, 2007, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1178730597

► Despite sophisticated search engine algorithms designed to eliminate irrelevant content, many Internet content providers with valuable information are unable to achieve visibility in the search… (more)

Subjects/Keywords: search engine rankings; search engine optimization

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

FISTER, J. M. (2007). CORRELATION ANALYSIS OF ON-PAGE ATTRIBUTES AND SEARCH ENGINE RANKINGS. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1178730597

Chicago Manual of Style (16^th Edition):

FISTER, JUSTIN M. “CORRELATION ANALYSIS OF ON-PAGE ATTRIBUTES AND SEARCH ENGINE RANKINGS.” 2007. Masters Thesis, University of Cincinnati. Accessed December 07, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1178730597.

MLA Handbook (7^th Edition):

FISTER, JUSTIN M. “CORRELATION ANALYSIS OF ON-PAGE ATTRIBUTES AND SEARCH ENGINE RANKINGS.” 2007. Web. 07 Dec 2019.

Vancouver:

FISTER JM. CORRELATION ANALYSIS OF ON-PAGE ATTRIBUTES AND SEARCH ENGINE RANKINGS. [Internet] [Masters thesis]. University of Cincinnati; 2007. [cited 2019 Dec 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1178730597.

Council of Science Editors:

FISTER JM. CORRELATION ANALYSIS OF ON-PAGE ATTRIBUTES AND SEARCH ENGINE RANKINGS. [Masters Thesis]. University of Cincinnati; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1178730597

University of Minnesota

2. Bai, Xue. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.

Degree: MA, Mass Communication, 2013, University of Minnesota

URL: http://purl.umn.edu/147494

►

University of Minnesota M.A. thesis. February 2013. Major: Mass Communication. Advisor: Ronald J. Faber. 1 computer file (PDF); v, 101 pages, appendix A.

Search engine… (more)

Subjects/Keywords: Consumer; Online information search; Online marketing; Search engine marketing; Search engine optimization; Search engine

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bai, X. (2013). In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/147494

Chicago Manual of Style (16^th Edition):

Bai, Xue. “In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.” 2013. Masters Thesis, University of Minnesota. Accessed December 07, 2019. http://purl.umn.edu/147494.

MLA Handbook (7^th Edition):

Bai, Xue. “In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.” 2013. Web. 07 Dec 2019.

Vancouver:

Bai X. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2019 Dec 07]. Available from: http://purl.umn.edu/147494.

Council of Science Editors:

Bai X. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/147494

University of Minnesota

3. Bai, Xue. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.

Degree: MA, Mass Communication, 2013, University of Minnesota

URL: http://purl.umn.edu/147494

► Search engine optimization (SEO), as a multi-million dollar business of search engine marketing, has seldom been studied from the consumers' perspective. This study aims to… (more)

Subjects/Keywords: Consumer; Online information search; Online marketing; Search engine marketing; Search engine optimization; Search engine

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bai, X. (2013). In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/147494

Chicago Manual of Style (16^th Edition):

Bai, Xue. “In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.” 2013. Masters Thesis, University of Minnesota. Accessed December 07, 2019. http://purl.umn.edu/147494.

MLA Handbook (7^th Edition):

Bai, Xue. “In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search.” 2013. Web. 07 Dec 2019.

Vancouver:

Bai X. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2019 Dec 07]. Available from: http://purl.umn.edu/147494.

Council of Science Editors:

Bai X. In Google We Trust: consumers' perception of search engine optimization and its potential impact on online information search. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/147494

4. Yongpisanpop Papon. An Adaptive Search Framework for Supporting Cooperative Work in Organizations : 協調作業支援のための適応型検索フレームワーク; キョウチョウサギョウシエンノタメノテキオウガタケンサクフレームワーク.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

URL: http://hdl.handle.net/10061/7659

Subjects/Keywords: search engine

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Papon, Y. (n.d.). An Adaptive Search Framework for Supporting Cooperative Work in Organizations : 協調作業支援のための適応型検索フレームワーク; キョウチョウサギョウシエンノタメノテキオウガタケンサクフレームワーク. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/7659

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Papon, Yongpisanpop. “An Adaptive Search Framework for Supporting Cooperative Work in Organizations : 協調作業支援のための適応型検索フレームワーク; キョウチョウサギョウシエンノタメノテキオウガタケンサクフレームワーク.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed December 07, 2019. http://hdl.handle.net/10061/7659.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Papon, Yongpisanpop. “An Adaptive Search Framework for Supporting Cooperative Work in Organizations : 協調作業支援のための適応型検索フレームワーク; キョウチョウサギョウシエンノタメノテキオウガタケンサクフレームワーク.” Web. 07 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Papon Y. An Adaptive Search Framework for Supporting Cooperative Work in Organizations : 協調作業支援のための適応型検索フレームワーク; キョウチョウサギョウシエンノタメノテキオウガタケンサクフレームワーク. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10061/7659.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Papon Y. An Adaptive Search Framework for Supporting Cooperative Work in Organizations : 協調作業支援のための適応型検索フレームワーク; キョウチョウサギョウシエンノタメノテキオウガタケンサクフレームワーク. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/7659

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Penn State University

5. Gopalakrishna, Chandrika. TEMPORAL IDENTIFICATION OF USAGE PATTERNS AND OUTLIERS IN WEB SEARCHING USING TENSOR ANALYSIS.

Degree: MS, Computer Science and Engineering, 2008, Penn State University

URL: https://etda.libraries.psu.edu/catalog/8185

► This research attempts to recognize patterns and outliers in the data stream from huge search engine transaction files incorporating tensor analysis. The aim is to… (more)

Subjects/Keywords: Transaction log; Search Engine; Tensor

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gopalakrishna, C. (2008). TEMPORAL IDENTIFICATION OF USAGE PATTERNS AND OUTLIERS IN WEB SEARCHING USING TENSOR ANALYSIS. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/8185

Chicago Manual of Style (16^th Edition):

Gopalakrishna, Chandrika. “TEMPORAL IDENTIFICATION OF USAGE PATTERNS AND OUTLIERS IN WEB SEARCHING USING TENSOR ANALYSIS.” 2008. Masters Thesis, Penn State University. Accessed December 07, 2019. https://etda.libraries.psu.edu/catalog/8185.

MLA Handbook (7^th Edition):

Gopalakrishna, Chandrika. “TEMPORAL IDENTIFICATION OF USAGE PATTERNS AND OUTLIERS IN WEB SEARCHING USING TENSOR ANALYSIS.” 2008. Web. 07 Dec 2019.

Vancouver:

Gopalakrishna C. TEMPORAL IDENTIFICATION OF USAGE PATTERNS AND OUTLIERS IN WEB SEARCHING USING TENSOR ANALYSIS. [Internet] [Masters thesis]. Penn State University; 2008. [cited 2019 Dec 07]. Available from: https://etda.libraries.psu.edu/catalog/8185.

Council of Science Editors:

Gopalakrishna C. TEMPORAL IDENTIFICATION OF USAGE PATTERNS AND OUTLIERS IN WEB SEARCHING USING TENSOR ANALYSIS. [Masters Thesis]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/8185

Universidade Nova

6. Gomez, Farid Nicolás Calderón. Using the pagerank algorithm to explore a physician referral network.

Degree: 2018, Universidade Nova

URL: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/36291

► PageRank algorithm is nowadays the baseline in search engine being the tool behind Google’s operation. However, since it was defined many different approaches have been… (more)

Subjects/Keywords: Referral network; PageRank; Search engine

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gomez, F. N. C. (2018). Using the pagerank algorithm to explore a physician referral network. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/36291

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gomez, Farid Nicolás Calderón. “Using the pagerank algorithm to explore a physician referral network.” 2018. Thesis, Universidade Nova. Accessed December 07, 2019. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/36291.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gomez, Farid Nicolás Calderón. “Using the pagerank algorithm to explore a physician referral network.” 2018. Web. 07 Dec 2019.

Vancouver:

Gomez FNC. Using the pagerank algorithm to explore a physician referral network. [Internet] [Thesis]. Universidade Nova; 2018. [cited 2019 Dec 07]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/36291.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gomez FNC. Using the pagerank algorithm to explore a physician referral network. [Thesis]. Universidade Nova; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/36291

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

7. Kolla, Maheedhar. Novelty and Diversity in Retrieval Evaluation.

Degree: 2013, University of Waterloo

URL: http://hdl.handle.net/10012/7197

► Queries submitted to search engines rarely provide a complete and precise description of a user's information need. Most queries are ambiguous to some extent, having… (more)

▼ Queries submitted to search engines rarely provide a complete and precise description of a user's information need. Most queries are ambiguous to some extent, having multiple interpretations. For example, the seemingly unambiguous query ``tennis lessons'' might be submitted by a user interested in attending classes in her neighborhood, seeking lessons for her child, looking for online videos lessons, or planning to start a business teaching tennis. Search engines face the challenging task of satisfying different groups of users having diverse information needs associated with a given query. One solution is to optimize ranking functions to satisfy diverse sets of information needs. Unfortunately, existing evaluation frameworks do not support such optimization. Instead, ranking functions are rewarded for satisfying the most likely intent associated with a given query. In this thesis, we propose a framework and associated evaluation metrics that are capable of optimizing ranking functions to satisfy diverse information needs. Our proposed measures explicitly reward those ranking functions capable of presenting the user with information that is novel with respect to previously viewed documents. Our measures reflects quality of a ranking function by taking into account its ability to satisfy diverse users submitting a query. Moreover, the task of identifying and establishing test frameworks to compare ranking functions on a web-scale can be tedious. One reason for this problem is the dynamic nature of the web, where documents are constantly added and updated, making it necessary for search engine developers to seek additional human assessments. Along with issues of novelty and diversity, we explore one approximate approach to compare different ranking functions by overcoming the problem of lacking complete human assessments. We demonstrate that our approach is capable of accurately sorting ranking functions based on their capability of satisfying diverse users, even in the face of incomplete human assessments.

Subjects/Keywords: Information retrieval; search engine evaluation

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kolla, M. (2013). Novelty and Diversity in Retrieval Evaluation. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7197

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kolla, Maheedhar. “Novelty and Diversity in Retrieval Evaluation.” 2013. Thesis, University of Waterloo. Accessed December 07, 2019. http://hdl.handle.net/10012/7197.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kolla, Maheedhar. “Novelty and Diversity in Retrieval Evaluation.” 2013. Web. 07 Dec 2019.

Vancouver:

Kolla M. Novelty and Diversity in Retrieval Evaluation. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10012/7197.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kolla M. Novelty and Diversity in Retrieval Evaluation. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7197

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

8. Wang, Curtis. iKNOWx Forum Search: a system for case retrieval in online medical forums.

Degree: MS, 0112, 2013, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/44483

► This thesis describes a novel retrieval model for case retrieval from online medical forums. This model uses semantic query weighting to obtain a more accurate… (more)

Subjects/Keywords: Information Retrieval; Search Engine; Medicine

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, C. (2013). iKNOWx Forum Search: a system for case retrieval in online medical forums. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/44483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Curtis. “iKNOWx Forum Search: a system for case retrieval in online medical forums.” 2013. Thesis, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/44483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Curtis. “iKNOWx Forum Search: a system for case retrieval in online medical forums.” 2013. Web. 07 Dec 2019.

Vancouver:

Wang C. iKNOWx Forum Search: a system for case retrieval in online medical forums. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/44483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang C. iKNOWx Forum Search: a system for case retrieval in online medical forums. [Thesis]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/44483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

9. Chen, Jiajun, M.S. in Statistics. Search engine For Twitter sentiment analysis.

Degree: MSin Statistics, Statistics, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/32489

► The purpose of sentiment analysis is to determine the attitude of a writer or a speaker with respect to some topic or his feeling in… (more)

▼ The purpose of sentiment analysis is to determine the attitude of a writer or a speaker with respect to some topic or his feeling in a document. Thanks to the rise of social media, nowadays there are numerous data generated by users. Mining and categorizing these data will not only bring profits for companies, but also benefit the nation. Sentiment analysis not only enables business decision makers to better understand customers' behaviors, but also allows customers to know how the public feel about a product before purchasing. On the other hand, the aggregation of emotions will effectively measure the public response toward an event or news. For example, the level of distress and sadness will increase significantly after terror attacks or natural disaster. In our project, we are going to build a search engine that allows users to check the sentiment of his query. Some of previous researches on classifying sentiment of messages on micro-blogging services like Twitter have tried to solve this problem but they have ignored neutral tweets, which will result in problematic results (12). Our sentiment analysis will also be based on tweets collected from twitter, since twitter can offer sufficient and real-time corpora for analysis. We will preprocess each tweet in the training set and label it as positive, negative or neutral. As we use words in the tweet as the feature for our model, different features will be used. We will show that accuracy achieved by different machine learning algorithms (Naïve Bayes, Maximum Entropy) can be improved with a feature vector obtained by using bigrams (5). In our practice, we find that Naive Bayes has better performance than Maximum Entropy. Advisors/Committee Members: search?q=%2Bpublisher%3A%22University%20of%20Texas%26%23160%3B%26%238211%3B%20Austin%22%20%2Bcontributor%3A%28%22Lin%2C%20Lizhen%2C%20Ph.%20D.%22%29&pagesize-30">Lin, Lizhen, Ph. D. (advisor), search?q=%2Bpublisher%3A%22University%20of%20Texas%26%23160%3B%26%238211%3B%20Austin%22%20%2Bcontributor%3A%28%22Keitt%2C%20Timothy%22%29&pagesize-30">Keitt, Timothy (committee member).

Subjects/Keywords: Twitter; Sentiment analysis; Search engine

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, Jiajun, M. S. i. S. (2015). Search engine For Twitter sentiment analysis. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32489

Chicago Manual of Style (16^th Edition):

Chen, Jiajun, M S in Statistics. “Search engine For Twitter sentiment analysis.” 2015. Masters Thesis, University of Texas – Austin. Accessed December 07, 2019. http://hdl.handle.net/2152/32489.

MLA Handbook (7^th Edition):

Chen, Jiajun, M S in Statistics. “Search engine For Twitter sentiment analysis.” 2015. Web. 07 Dec 2019.

Vancouver:

Chen, Jiajun MSiS. Search engine For Twitter sentiment analysis. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2152/32489.

Council of Science Editors:

Chen, Jiajun MSiS. Search engine For Twitter sentiment analysis. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32489

University of Bath

10. Chiravirakul, Pawitra. Search satisfaction : choice overload, variety seeking and serendipity in search engine use.

Degree: PhD, 2015, University of Bath

URL: https://researchportal.bath.ac.uk/en/studentthesis/search-satisfaction(baaf2571-2726-4979-990a-21547419112d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665389

► Users of current web search engines are often presented with a large number of returns after submitting a search term and choosing from the list… (more)

▼ Users of current web search engines are often presented with a large number of returns after submitting a search term and choosing from the list might lead to them suffering from the effect of “choice overload”, as reported in earlier work. However, these search results are typically presented in an ordered list so as to simplify the search process, which may influence search behaviour and moderate the effect of number of choices. In this thesis, the effects of the number of search returns and their ordering on user behaviour and satisfaction are explored. A mixed methods approach combining multiple data collection and analysis techniques is employed in order to investigate these effects in terms of three specific issues, namely, choice overload in search engine use, variety seeking behaviour in a situation where multiple aspects of search results are required, and the chance of encountering serendipity. The participants were given search tasks and asked to choose from the sets of returns under experimental conditions. The results from the first three experiments revealed that large numbers of search results returned from a search engine tended to be associated with more satisfaction with the selected options when the decision was made without a time limit. In addition, when time was more strongly constrained the choices from a small number of returns led to relatively higher satisfaction than for a large number. Moreover, users’ behaviour was strongly influenced by the ordering of options in that they often looked and selected options presented near the top of the result lists when they perceived the ranking was reliable. The next experiment further investigated the ranking reliance behaviour when potentially useful search results were presented in supplementary lists. The findings showed that when users required a variety of options, they relied less on the ordering and tended to adapt their search strategies to seek variety by browsing more returns through the list, selecting options located further down, and/or choosing the supplementary web pages provided. Finally, with the aim of illustrating how chance encountering can be supported, a model of an automated synonym-enhanced search was developed and employed in a real-world literature search. The results showed that the synonym search was occasionally useful for providing a variety of search results, which in turn increased users’ opportunity to come across serendipitous experiences.

Subjects/Keywords: 005.75; Search Satisfaction; Search Engine Use

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chiravirakul, P. (2015). Search satisfaction : choice overload, variety seeking and serendipity in search engine use. (Doctoral Dissertation). University of Bath. Retrieved from https://researchportal.bath.ac.uk/en/studentthesis/search-satisfaction(baaf2571-2726-4979-990a-21547419112d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665389

Chicago Manual of Style (16^th Edition):

Chiravirakul, Pawitra. “Search satisfaction : choice overload, variety seeking and serendipity in search engine use.” 2015. Doctoral Dissertation, University of Bath. Accessed December 07, 2019. https://researchportal.bath.ac.uk/en/studentthesis/search-satisfaction(baaf2571-2726-4979-990a-21547419112d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665389.

MLA Handbook (7^th Edition):

Chiravirakul, Pawitra. “Search satisfaction : choice overload, variety seeking and serendipity in search engine use.” 2015. Web. 07 Dec 2019.

Vancouver:

Chiravirakul P. Search satisfaction : choice overload, variety seeking and serendipity in search engine use. [Internet] [Doctoral dissertation]. University of Bath; 2015. [cited 2019 Dec 07]. Available from: https://researchportal.bath.ac.uk/en/studentthesis/search-satisfaction(baaf2571-2726-4979-990a-21547419112d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665389.

Council of Science Editors:

Chiravirakul P. Search satisfaction : choice overload, variety seeking and serendipity in search engine use. [Doctoral Dissertation]. University of Bath; 2015. Available from: https://researchportal.bath.ac.uk/en/studentthesis/search-satisfaction(baaf2571-2726-4979-990a-21547419112d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665389

11. Nilsson, Rebecca. STREAMLINE THE SEARCH ENGINE MARKETING STRATEGY : Generational Driven Search Behavior on Google.

Degree: Technology and Social Sciences, 2018, Luleå University of Technology

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70149

► The expanded internet usage has resulted in an increased activity at web-based search engines. Companies are therefore devoting a large portion of their online… (more)

▼ The expanded internet usage has resulted in an increased activity at web-based search engines. Companies are therefore devoting a large portion of their online marketing budget on Search Engine Marketing (abbreviated SEM) in order to reach potential online consumers searching for products. SEM comprises Search Engine Advertising (SEA) and Search Engine Optimization (SEO) which are two dissimilar marketing tools companies can invest in to reach the desired customer segments. It is therefore of great interest for companies in different product markets to have knowledge of which SEM strategy to utilize. The statement leads to the purpose of the thesis which is to investigate which SEM strategy is the most suitable for companies in different markets, SEA or SEO?. The purpose of the thesis is derived to the research problem: How does the search behavior of consumers differ between the two SEM tools, SEO and SEA?. Initially, in order to answer the research problem, a theoretical framework was conducted consisting of theories from previous research. To collect primary data observations of 60 test subjects was performed in accordance with the Experimental Vignette Methodology. The analysis consists of a comparison between the collected data and the theories included in the frame of reference, to identify similarities and differences. The SPSS analysis of the result revealed numerous findings such as the two-way interactions of the factors degree of involvement and the click rate of SEM, as well as the choice of either a head or a tail keyword and the degree of involvement. The analysis further revealed a three-way interaction which suggests that the degree of involvement, and the use of either a head or tail keyword affects the choice of SEM. Additionally, the result shows that customers using brands as keywords are more likely to click on an organic link rather than on a paid ad. However, when adding the factor age to the analysis the results turn insignificant. As the area of search behavior of customers using search engines is relatively scientifically unexplored, the thesis has contributed with knowledge useful for companies, marketing agencies, among others. However, due to the ongoing expansion of search engine usage, it is of great interest to conduct further research in the area to reveal additional findings.

Subjects/Keywords: Search Engine Marketing; Search Engine Advertising; Search Engine Optimization; Search Behavior; Generation X; Generation Y; Business Administration; Företagsekonomi

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Nilsson, R. (2018). STREAMLINE THE SEARCH ENGINE MARKETING STRATEGY : Generational Driven Search Behavior on Google. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70149

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Nilsson, Rebecca. “STREAMLINE THE SEARCH ENGINE MARKETING STRATEGY : Generational Driven Search Behavior on Google.” 2018. Thesis, Luleå University of Technology. Accessed December 07, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70149.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Nilsson, Rebecca. “STREAMLINE THE SEARCH ENGINE MARKETING STRATEGY : Generational Driven Search Behavior on Google.” 2018. Web. 07 Dec 2019.

Vancouver:

Nilsson R. STREAMLINE THE SEARCH ENGINE MARKETING STRATEGY : Generational Driven Search Behavior on Google. [Internet] [Thesis]. Luleå University of Technology; 2018. [cited 2019 Dec 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70149.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nilsson R. STREAMLINE THE SEARCH ENGINE MARKETING STRATEGY : Generational Driven Search Behavior on Google. [Thesis]. Luleå University of Technology; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70149

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Henriksson, Adam. Alternative Search : From efficiency to experience.

Degree: Umeå Institute of Design, 2014, Umeå University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-97836

►

Search engines of today are focusing on efficiently and accurately generating search results.Yet, there is much to be explored in the way people interact… (more)

Subjects/Keywords: search; search engines; search result; alternate search engine; functionality; exploratory browsing; web

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Henriksson, A. (2014). Alternative Search : From efficiency to experience. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-97836

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Henriksson, Adam. “Alternative Search : From efficiency to experience.” 2014. Thesis, Umeå University. Accessed December 07, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-97836.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Henriksson, Adam. “Alternative Search : From efficiency to experience.” 2014. Web. 07 Dec 2019.

Vancouver:

Henriksson A. Alternative Search : From efficiency to experience. [Internet] [Thesis]. Umeå University; 2014. [cited 2019 Dec 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-97836.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Henriksson A. Alternative Search : From efficiency to experience. [Thesis]. Umeå University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-97836

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Narayan, Nitesh. Advanced Intranet Search Engine.

Degree: Design and Engineering, 2009, Mälardalen University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9408

► Information retrieval has been a prevasive part of human society since its existence.With the advent of internet and World wide Web it became an… (more)

▼ Information retrieval has been a prevasive part of human society since its existence.With the advent of internet and World wide Web it became an extensive area of researchand major foucs, which lead to development of various search engines to locate the de-sired information, mostly for globally connected computer networks viz. internet.Butthere is another major part of computer network viz. intranet, which has not seen muchof advancement in information retrieval approaches, in spite of being a major source ofinformation within a large number of organizations.Most common technique for intranet based search engines is still mere database-centric. Thus practically intranets are unable to avail the beneﬁts of sophisticated tech-niques that have been developed for internet based search engines without exposing thedata to commercial search engines.In this Master level thesis we propose a ”state of the art architecture” for an advancedsearch engine for intranet which is capable of dealing with continuously growing sizeof intranets knowledge base. This search engine employs lexical processing of doc-umetns,where documents are indexed and searched based on standalone terms or key-words, along with the semantic processing of the documents where the context of thewords and the relationship among them is given more importance.Combining lexical and semantic processing of the documents give an effective ap-proach to handle navigational queries along with research queries, opposite to the modernsearch engines which either uses lexical processing or semantic processing (or one as themajor) of the documents. We give equal importance to both the approaches in our design,considering best of the both world.This work also takes into account various widely acclaimed concepts like inferencerules, ontologies and active feedback from the user community to continuously enhanceand improve the quality of search results along with the possibility to infer and deducenew knowledge from the existing one, while preparing for the advent of semantic web.

Subjects/Keywords: semantic; lexical; search engine; natural language processing

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Narayan, N. (2009). Advanced Intranet Search Engine. (Thesis). Mälardalen University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9408

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Narayan, Nitesh. “Advanced Intranet Search Engine.” 2009. Thesis, Mälardalen University. Accessed December 07, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9408.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Narayan, Nitesh. “Advanced Intranet Search Engine.” 2009. Web. 07 Dec 2019.

Vancouver:

Narayan N. Advanced Intranet Search Engine. [Internet] [Thesis]. Mälardalen University; 2009. [cited 2019 Dec 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9408.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Narayan N. Advanced Intranet Search Engine. [Thesis]. Mälardalen University; 2009. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9408

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Georgia

14. Pitts, Brian. Evaluating googlearchy: assessing the diversity of political websites.

Degree: MA, Political Science, 2010, University of Georgia

URL: http://purl.galileo.usg.edu/uga_etd/pitts_brian_201005_ma

► Websites are an increasingly important part of how people seek out political information. Many political scientists believe that the web provides diverse new sources of… (more)

Subjects/Keywords: search engine; hyperlink; internet; political communications

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pitts, B. (2010). Evaluating googlearchy: assessing the diversity of political websites. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/pitts_brian_201005_ma

Chicago Manual of Style (16^th Edition):

Pitts, Brian. “Evaluating googlearchy: assessing the diversity of political websites.” 2010. Masters Thesis, University of Georgia. Accessed December 07, 2019. http://purl.galileo.usg.edu/uga_etd/pitts_brian_201005_ma.

MLA Handbook (7^th Edition):

Pitts, Brian. “Evaluating googlearchy: assessing the diversity of political websites.” 2010. Web. 07 Dec 2019.

Vancouver:

Pitts B. Evaluating googlearchy: assessing the diversity of political websites. [Internet] [Masters thesis]. University of Georgia; 2010. [cited 2019 Dec 07]. Available from: http://purl.galileo.usg.edu/uga_etd/pitts_brian_201005_ma.

Council of Science Editors:

Pitts B. Evaluating googlearchy: assessing the diversity of political websites. [Masters Thesis]. University of Georgia; 2010. Available from: http://purl.galileo.usg.edu/uga_etd/pitts_brian_201005_ma

15. Anuradha. Design of a hidden web crawler based search engine; -.

Degree: Computer Science, 2013, Maharshi Dayanand University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/7808

►

The World Wide Web is a global information medium of interlinked hypertext documents accessed via computers connected to the internet. Most of the users rely… (more)

▼

The World Wide Web is a global information medium of interlinked hypertext documents accessed via computers connected to the internet. Most of the users rely on traditional search engines to search the information on the web. These search engines deal with the Surface Web which is a set of Web pages directly accessible through hyperlinks and ignores a large part of the Web called Hidden Web which is hidden to present-day search engines. It lies behind search forms and this part of the web containing an almost endless amount of sources providing high quality information stored in specialized databases, can be found in the depths of the WWW. World Wide Web (WWW) is broadly divided into two categories: and#61472;The surface web contains 1% of information content of the web. Search engine crawl along the web to extract and index text from HTML documents on the websites, then make this information searchable through keywords. and#61472;The hidden web contains 99% of information content of the web. Most of this information is contained in the databases and is not indexed by search engines. This means if we are searching for information from surface web only, we search through only 1% of WWW and miss 99% of it whereas 95% of hidden web is free publicly accessible information. As the Hidden web information that is hidden behind the search query forms can only be accessed by interacting with these forms, development of automated system that interacts with the search forms and extracts the hidden web content would be of great value to human users. Today, the web is crowded with home-pages and sites that sell various types of products. Since the companies selling same type of products are not at all interested to publish the products of their competitors on their site, it would be nice if there is a free web service which collaborate the marketing of the products of the competitor web sites. Infact all the information is available on the internet but buried behind search interfaces and stored inside the databases.

References p.127-138, Appendix p.139-148

Advisors/Committee Members: search?q=%2Bpublisher%3A%22Maharshi%20Dayanand%20University%22%20%2Bcontributor%3A%28%22Sharma%2C%20A%20K%22%29&pagesize-30">Sharma, A K.

Subjects/Keywords: Computer Engineering; web crawler; search engine

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Anuradha. (2013). Design of a hidden web crawler based search engine; -. (Thesis). Maharshi Dayanand University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/7808

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Anuradha. “Design of a hidden web crawler based search engine; -.” 2013. Thesis, Maharshi Dayanand University. Accessed December 07, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/7808.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Anuradha. “Design of a hidden web crawler based search engine; -.” 2013. Web. 07 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Anuradha. Design of a hidden web crawler based search engine; -. [Internet] [Thesis]. Maharshi Dayanand University; 2013. [cited 2019 Dec 07]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/7808.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anuradha. Design of a hidden web crawler based search engine; -. [Thesis]. Maharshi Dayanand University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/7808

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

16. Chen, Yuan-hsin. Improving Digital Library Ranking with Expert Information.

Degree: MS, Information Sciences and Technology, 2015, Penn State University

URL: https://etda.libraries.psu.edu/catalog/26380

► The purpose of this research is to investigate whether expert information can improve the ranking function of academic search engines. We chose CiteSeerX as the… (more)

Subjects/Keywords: academic search engine; learning to rank

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, Y. (2015). Improving Digital Library Ranking with Expert Information. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/26380

Chicago Manual of Style (16^th Edition):

Chen, Yuan-hsin. “Improving Digital Library Ranking with Expert Information.” 2015. Masters Thesis, Penn State University. Accessed December 07, 2019. https://etda.libraries.psu.edu/catalog/26380.

MLA Handbook (7^th Edition):

Chen, Yuan-hsin. “Improving Digital Library Ranking with Expert Information.” 2015. Web. 07 Dec 2019.

Vancouver:

Chen Y. Improving Digital Library Ranking with Expert Information. [Internet] [Masters thesis]. Penn State University; 2015. [cited 2019 Dec 07]. Available from: https://etda.libraries.psu.edu/catalog/26380.

Council of Science Editors:

Chen Y. Improving Digital Library Ranking with Expert Information. [Masters Thesis]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/26380

Penn State University

17. Liu, Ying. TABLESEER: AUTOMATIC TABLE EXTRACTION, SEARCH, AND UNDERSTANDING.

Degree: PhD, Information Sciences and Technology, 2009, Penn State University

URL: https://etda.libraries.psu.edu/catalog/10420

► Tables are ubiquitous with a history that pre-dates that of sentential text. Authors often report a summary of their most important findings using tabular structure… (more)

▼ Tables are ubiquitous with a history that pre-dates that of sentential text. Authors often report a summary of their most important findings using tabular structure in documents. For example, scientists widely use tables to present the latest experimental results or statistical data in a condensed fashion. Along with the explosive development of the digital library and internet, tables have become a valuable information source for information seeking and data analysis. Interest in and use of table data necessitates table indexing and search. However, current search engines do not support table search. The difficulty of automatically extracting tables from un-tagged documents, the lack of a universal table metadata specification, and the limitation of the existing ranking schemes make the table search problem challenging. Effectively and efficiently searching table data becomes an urgent demand. In this dissertation, we present an automatic table extraction and search engine, TableSeer. TableSeer crawls the web and digital libraries, detects tables from documents using heuristic-based and machine-learning based methods, represents tables using an extensive set of medium-independent table metadata that other people can reuse, indexes table metadata files, ranks tables, and provides a user-friendly search interface. To improve the performance of the table boundary detection, a novel page-box-cutting method and a sparse-line detection method are proposed. Given a keyword-based table search query, TableSeer ranks the matched tables and returns the most relevant tables with a novel table ranking algorithm – TableRank. TableRank tailors the classic vector space model and adopts an innovative term weighting scheme by ggregating multiple features from three levels: the term, table and document levels. Although tables are widely used, there is no standard on the table structure designing. Many issues that go into the design of tables and will impair the table data readability, accessibility, and re-usability are ignored. In order to have a deep understanding on the table characterization and to improve the table extraction and search performance, we also implement the first large-scale table quantitative study on table natures in digital libraries. We demonstrate the value of TableSeer with empirical studies on scientific documents. The experimental results show that our table search engine outperforms existing search engines on table search. Overall, TableSeer eliminates the burden of manually extracting table data from digital libraries and enables users to automatically examine tables. TableSeer is successfully deployed and in current use in several scientific digital libraries, for example CiteSeerx.

Subjects/Keywords: Ranking; Search Engine; Table Extraction; Indexing

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liu, Y. (2009). TABLESEER: AUTOMATIC TABLE EXTRACTION, SEARCH, AND UNDERSTANDING. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10420

Chicago Manual of Style (16^th Edition):

Liu, Ying. “TABLESEER: AUTOMATIC TABLE EXTRACTION, SEARCH, AND UNDERSTANDING.” 2009. Doctoral Dissertation, Penn State University. Accessed December 07, 2019. https://etda.libraries.psu.edu/catalog/10420.

MLA Handbook (7^th Edition):

Liu, Ying. “TABLESEER: AUTOMATIC TABLE EXTRACTION, SEARCH, AND UNDERSTANDING.” 2009. Web. 07 Dec 2019.

Vancouver:

Liu Y. TABLESEER: AUTOMATIC TABLE EXTRACTION, SEARCH, AND UNDERSTANDING. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2019 Dec 07]. Available from: https://etda.libraries.psu.edu/catalog/10420.

Council of Science Editors:

Liu Y. TABLESEER: AUTOMATIC TABLE EXTRACTION, SEARCH, AND UNDERSTANDING. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/10420

University of Southern California

18. Kim, Jinwoo. A statistical ontology-based approach to ranking for multi-word search.

Degree: PhD, Computer Science, 2013, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245525/rec/368

► Keyword search is a prominent data retrieval method for the Web, largely because the simple and efficient nature of keyword processing allows a large amount… (more)

▼ Keyword search is a prominent data retrieval method for the Web, largely because the simple and efficient nature of keyword processing allows a large amount of information to be searched with fast response. However, keyword search approaches do not formally capture the clear meaning of a keyword query and fail to address the semantic relationships between keywords. As a result, the accuracy (precision and recall rate) is often unsatisfactory, and the ranking algorithms fail to properly reflect the semantic relevance of keywords. Our research particularly focuses on increasing the accuracy of search results for multi-word search. We propose a statistical ontology-based semantic ranking algorithm based on sentence units, and a new type of query interface including wildcards. First, we allocate higher-ranking scores to keywords located in the same sentence compared with keywords located in separate sentences. While existing statistical search algorithms such as N-gram only consider sequences of adjacent keywords, our approach is able to calculate sequences of non-adjacent keywords as well as adjacent keywords. Second, we propose a slightly different type of query interface, which considers a wildcard as an independent unit of a search query to reflect what users are actually seeking by way of the function of query prediction based on not query data but actual Web data. Unlike current information retrieval approaches such as proximity, statistical language modeling, query prediction and query answering, our statistical ontology-based model synthesizes proximity concept and statistical approaches into a form of ontology. This ontology helps to improve web information retrieval accuracy. ❧ We validated our methodology with a suite of experiments using the Text Retrieval Conference document collection. We focused on two-word queries in our experiments - as two-word queries are quite common. After applying our statistical ontology-based algorithm to the Nutch search engine, we compared the results with results of the original Nutch search and Google Desktop Search. The result demonstrates that our methodology has improved accuracy quite significantly. Advisors/Committee Members: search?q=%2Bpublisher%3A%22University%20of%20Southern%20California%22%20%2Bcontributor%3A%28%22McLeod%2C%20Dennis%22%29&pagesize-30">McLeod, Dennis (Committee Chair), search?q=%2Bpublisher%3A%22University%20of%20Southern%20California%22%20%2Bcontributor%3A%28%22Nakano%2C%20Aiichiro%22%29&pagesize-30">Nakano, Aiichiro (Committee Member), search?q=%2Bpublisher%3A%22University%20of%20Southern%20California%22%20%2Bcontributor%3A%28%22Pryor%2C%20Larry%22%29&pagesize-30">Pryor, Larry (Committee Member), search?q=%2Bpublisher%3A%22University%20of%20Southern%20California%22%20%2Bcontributor%3A%28%22Medvidovic%20%2C%20Nenad%22%29&pagesize-30">Medvidovic , Nenad (Committee Member), search?q=%2Bpublisher%3A%22University%20of%20Southern%20California%22%20%2Bcontributor%3A%28%22Kuo%2C%20C.-C.%20Jay%22%29&pagesize-30">Kuo, C.-C. Jay (Committee Member).

Subjects/Keywords: ontology; information retrieval; semantic web; search engine

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kim, J. (2013). A statistical ontology-based approach to ranking for multi-word search. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245525/rec/368

Chicago Manual of Style (16^th Edition):

Kim, Jinwoo. “A statistical ontology-based approach to ranking for multi-word search.” 2013. Doctoral Dissertation, University of Southern California. Accessed December 07, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245525/rec/368.

MLA Handbook (7^th Edition):

Kim, Jinwoo. “A statistical ontology-based approach to ranking for multi-word search.” 2013. Web. 07 Dec 2019.

Vancouver:

Kim J. A statistical ontology-based approach to ranking for multi-word search. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Dec 07]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245525/rec/368.

Council of Science Editors:

Kim J. A statistical ontology-based approach to ranking for multi-word search. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245525/rec/368

Virginia Tech

19. Clark, William H. IV. Blind Comprehension of Waveforms through Statistical Observations.

Degree: MS, Electrical Engineering, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/52908

► This paper proposes a cumulant based classification means to identify waveforms for a blind receiver in the presence of time varying channels, which is built… (more)

Subjects/Keywords: communications; modulation classification; cumulant; search engine platform

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Clark, W. H. I. (2015). Blind Comprehension of Waveforms through Statistical Observations. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52908

Chicago Manual of Style (16^th Edition):

Clark, William H IV. “Blind Comprehension of Waveforms through Statistical Observations.” 2015. Masters Thesis, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/52908.

MLA Handbook (7^th Edition):

Clark, William H IV. “Blind Comprehension of Waveforms through Statistical Observations.” 2015. Web. 07 Dec 2019.

Vancouver:

Clark WHI. Blind Comprehension of Waveforms through Statistical Observations. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/52908.

Council of Science Editors:

Clark WHI. Blind Comprehension of Waveforms through Statistical Observations. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52908

Linnaeus University

20. Xian, Yikun. Semantic Search with Information Integration.

Degree: Physics and Mathematics, 2011, Linnaeus University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13832

► Since the search engine was first released in 1993, the development has never been slow down and various search engines emerged to vied for… (more)

Subjects/Keywords: Semantic Analysis; Search Engine; NLP; J2EE

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Xian, Y. (2011). Semantic Search with Information Integration. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13832

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xian, Yikun. “Semantic Search with Information Integration.” 2011. Thesis, Linnaeus University. Accessed December 07, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13832.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xian, Yikun. “Semantic Search with Information Integration.” 2011. Web. 07 Dec 2019.

Vancouver:

Xian Y. Semantic Search with Information Integration. [Internet] [Thesis]. Linnaeus University; 2011. [cited 2019 Dec 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13832.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xian Y. Semantic Search with Information Integration. [Thesis]. Linnaeus University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13832

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Sagot, Sylvain. Contribution à la conception et à la maîtrise du processus de référencement Web : Contribution to the Design and the Mastery of the SEO Process.

Degree: Docteur es, Sciences Pour l'Ingénieur, 2016, Belfort-Montbéliard

URL: http://www.theses.fr/2016BELF0310

►

Le développement rapide du World Wide Web depuis les années 1990 a entraîné l'accroissement dunombre de sites web et l'intensification de la concurrence. Parallèlement, les… (more)

▼

Le développement rapide du World Wide Web depuis les années 1990 a entraîné l'accroissement dunombre de sites web et l'intensification de la concurrence. Parallèlement, les moteurs de recherche ontjoué un rôle majeur en facilitant la recherche d'informations sur le web, au point de devenir une sourceinépuisable de trafic dont les propriétaires de sites web souhaitent profiter. Afin de capter un maximumde trafic qualifié, il est devenu nécessaire de se démarquer pour améliorer la visibilité d'un site web surles moteurs de recherche. Pour cela les propriétaires de sites web peuvent faire appel à des entreprisespratiquant le référencement web, et plus particulièrement le référencement naturel qui regroupel'ensemble des techniques d'optimisation permettant d'indexer et de positionner les pages d'un site webau plus haut niveau dans les résultats de recherche. L'activité de référencement web est conduite par leréférenceur qui, en optimisant un certain nombre de critères au sein du site web, améliore sonpositionnement. Mais les résultats obtenus sont incertains, car les algorithmes de classement desmoteurs de recherche sont en perpétuelle mutation. Dès lors, il est devenu nécessaire pour le référenceurd'avoir une meilleure maîtrise du processus de référencement web et d'être aidé dans ses prises dedécisions afin de satisfaire ses clients. Nos travaux de recherche ont permis d'apporter troiscontributions :- Établissement d'un cadre efficace pour l'activité de référencement à partir de la définition desdifférentes étapes du processus de référencement web en s'inspirant d'un méta-modèle d'ingénierie ;- Modélisation du processus de référencement web à partir d'un modèle d'agents afin de permettreune meilleure compréhension de son fonctionnement et de contrôler efficacement les différentesinteractions ;- Conception d'un système d'aide à la décision à partir de notre modèle d'agents servant desupport à l'activité de référencement web.Ces trois contributions majeures nous ont permis de répondre à notre problématique de recherche qui seproposait de répondre à la question suivante : « Comment concevoir le processus de référencement webpour améliorer sa maîtrise par le couple référenceur / client ? ».

The World Wide Web has quickly grown since the 90s, and it has led to an increase in the number ofwebsites and the intensification of the competition. In parallel, search engines have played a major roleby facilitating the research of information on the web, to the point of being an infinite source of traffic ofwhich websites' owners would like to take advantage. In order to capture the maximum of qualifiedtraffic, it has become necessary to stand out from the competitors to improve the visibility of a websiteon search engines. To do that, websites' owners can resort to firms which practice Search EngineOptimization (SEO). The latter gathers all the optimization techniques which make it possible to improvethe ranking of web pages at the highest rank in the search results. The activity of search engineoptimization is done by a SEO…

Advisors/Committee Members: search?q=%2Bpublisher%3A%22Belfort-Montb%C3%83%C2%A9liard%22%20%2Bcontributor%3A%28%22Foug%C3%83%C2%A8res%2C%20Alain-J%C3%83%C2%A9r%C3%83%C2%B4me%22%29&pagesize-30">Fougères, Alain-Jérôme (thesis director).

Subjects/Keywords: Référencement web; Processus de référencement web; SEO; Search Engine Optimization; Search Engine Optimization process

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sagot, S. (2016). Contribution à la conception et à la maîtrise du processus de référencement Web : Contribution to the Design and the Mastery of the SEO Process. (Doctoral Dissertation). Belfort-Montbéliard. Retrieved from http://www.theses.fr/2016BELF0310

Chicago Manual of Style (16^th Edition):

Sagot, Sylvain. “Contribution à la conception et à la maîtrise du processus de référencement Web : Contribution to the Design and the Mastery of the SEO Process.” 2016. Doctoral Dissertation, Belfort-Montbéliard. Accessed December 07, 2019. http://www.theses.fr/2016BELF0310.

MLA Handbook (7^th Edition):

Sagot, Sylvain. “Contribution à la conception et à la maîtrise du processus de référencement Web : Contribution to the Design and the Mastery of the SEO Process.” 2016. Web. 07 Dec 2019.

Vancouver:

Sagot S. Contribution à la conception et à la maîtrise du processus de référencement Web : Contribution to the Design and the Mastery of the SEO Process. [Internet] [Doctoral dissertation]. Belfort-Montbéliard; 2016. [cited 2019 Dec 07]. Available from: http://www.theses.fr/2016BELF0310.

Council of Science Editors:

Sagot S. Contribution à la conception et à la maîtrise du processus de référencement Web : Contribution to the Design and the Mastery of the SEO Process. [Doctoral Dissertation]. Belfort-Montbéliard; 2016. Available from: http://www.theses.fr/2016BELF0310

Penn State University

22. Zhuang, Ziming. IMPROVING RELEVANCE RANKING FOR UNDERSPECIFIED QUERIES.

Degree: MS, Information Sciences and Technology, 2008, Penn State University

URL: https://etda.libraries.psu.edu/catalog/8162

► Search engines have become an indispensable gateways to the sheer amount of information on the Web. Due to the large number of webpages available on… (more)

▼ Search engines have become an indispensable gateways to the sheer amount of information on the Web. Due to the large number of webpages available on any given topic, search results displayed to the search engine users are usually ranked in descending order of their relevance to the query. Because users typically browse only the first few pages of search results, the quality of relevance ranking is critical to the search experience. In this thesis, we address a challenging issue for relevance ranking in Web search: underspecified queries. To improve the quality of relevance ranking for underspecified queries, we exploit user feedbacks from two different perspectives. In the first part of this thesis, we address two common problems of underspecified queries. The first problem is that the top-ranked results for underspecified queries may not contain information that is truly relevant to the user's search intents, due to the large number of pages that could match the query. The second problem is that new webpages (even though relevant) may not be ranked high for an underspecified query due to their freshness. We propose to investigate what we called the query context, i.e. the distributional information of past queries from the search engine query logs, to refine the relevance ranking of the search results. Empirical evaluation shows that our proposal has improved over the current ranking system of a large-scale commercial Web search engine for 82% of the queries. In the second part of the thesis, we study the modeling of collective expertise. We present a novel collaborative ranking model inspired by the network flow theory, which constructs a network based on search engine logs to describe the relationship among the entities in collaborative search: collaborators, queries, and documents. This formal model permits the theoretical investigation of the nature of collaborative ranking in more concrete terms, and the learning of the dependence relations among these heterogenous entities. We then propose FlowRank, a collaborative ranking algorithm derived from this model through an analysis of empirical usage patterns. We also discuss the implementation and evaluation of FlowRank, and report improvements over two baseline ranking algorithms.

Subjects/Keywords: search query; relevance ranking; information retrieval; search engine; data mining

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhuang, Z. (2008). IMPROVING RELEVANCE RANKING FOR UNDERSPECIFIED QUERIES. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/8162

Chicago Manual of Style (16^th Edition):

Zhuang, Ziming. “IMPROVING RELEVANCE RANKING FOR UNDERSPECIFIED QUERIES.” 2008. Masters Thesis, Penn State University. Accessed December 07, 2019. https://etda.libraries.psu.edu/catalog/8162.

MLA Handbook (7^th Edition):

Zhuang, Ziming. “IMPROVING RELEVANCE RANKING FOR UNDERSPECIFIED QUERIES.” 2008. Web. 07 Dec 2019.

Vancouver:

Zhuang Z. IMPROVING RELEVANCE RANKING FOR UNDERSPECIFIED QUERIES. [Internet] [Masters thesis]. Penn State University; 2008. [cited 2019 Dec 07]. Available from: https://etda.libraries.psu.edu/catalog/8162.

Council of Science Editors:

Zhuang Z. IMPROVING RELEVANCE RANKING FOR UNDERSPECIFIED QUERIES. [Masters Thesis]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/8162

Linnaeus University

23. Claesson, Jennifer. Google Ads: Understanding millennials' search behavior on mobile devices.

Degree: Marketing, 2018, Linnaeus University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75731

► Purpose: The purpose of this study is to understand millennials search behavior on mobile devices. Research Questions: How do millennials value organic and sponsored… (more)

Subjects/Keywords: Marketing Communication; Search Engine Marketing; Sponsored Search Results; Organic Search Results; Attitudes; Business Administration; Företagsekonomi

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Claesson, J. (2018). Google Ads: Understanding millennials' search behavior on mobile devices. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75731

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Claesson, Jennifer. “Google Ads: Understanding millennials' search behavior on mobile devices.” 2018. Thesis, Linnaeus University. Accessed December 07, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75731.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Claesson, Jennifer. “Google Ads: Understanding millennials' search behavior on mobile devices.” 2018. Web. 07 Dec 2019.

Vancouver:

Claesson J. Google Ads: Understanding millennials' search behavior on mobile devices. [Internet] [Thesis]. Linnaeus University; 2018. [cited 2019 Dec 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75731.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Claesson J. Google Ads: Understanding millennials' search behavior on mobile devices. [Thesis]. Linnaeus University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75731

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Kanwal, Wasfa. Exploring Search Engine Optimization (SEO) Techniques for Dynamic Websites.

Degree: 2011, , School of Computing

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4881

► ABSTRACT Context: With growing number of online businesses, Search Engine Optimization (SEO) has become vital to capitalize a business because SEO is key factor… (more)

▼ ABSTRACT Context: With growing number of online businesses, Search Engine Optimization (SEO) has become vital to capitalize a business because SEO is key factor for marketing an online business. SEO is the process to optimize a website so that it ranks well on Search Engine Result Pages (SERPs). Dynamic websites are commonly used for e-commerce because they are easier to update and expand; however they are subjected to indexing related problems. Objectives: This research aims to examine and address dynamic websites indexing related issues. To achieve aims and objectives of this research I intend to explore dynamic websites indexing considerations, investigate SEO tools to carry SEO campaign in three major search engines (Google, Yahoo and Bing), experiment SEO techniques, and determine to what extent dynamic websites can be made search engine friendly on these major search engines. Methods: In this research, detailed literature survey is performed to evaluate existing knowledge for SEO for dynamic websites. Further empirical experiments are conducted to address dynamic websites indexing problems; and to evaluate SEO techniques used in empirical experiments. Results: It is found that all major search engines, including Google, cannot fully index dynamic websites. I used some SEO techniques which I explored during this study to help dynamic webpage(s) get indexed in major search engines. The experiment results reflect the effectiveness of SEO techniques including URL encoding /friendly URLs on major search engines. Conclusions: I conclude that, dynamic websites are subjected to indexing related problems and require additional SEO efforts to appear in SERPs. Not all SEO techniques are equally effective on all search engines to improve indexing of dynamic webpage(s). Each implemented SEO technique has different impression on major search engines (Google, Yahoo, Bing, Ask, and AOL). As, the encoded URLs technique is effective on all major search engines. However, Yahoo and Bing prefer friendly URLs over typical URLs with parameters. Therefore, presentation of dynamic URL could be quite paying if it is needed to index dynamic website on search engines other than Google.

Subjects/Keywords: Search Engine Optimization; Dynamic Websites; Search Engine Friendly; Computer Sciences; Datavetenskap (datalogi); Human Computer Interaction; Människa-datorinteraktion (interaktionsdesign)

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kanwal, W. (2011). Exploring Search Engine Optimization (SEO) Techniques for Dynamic Websites. (Thesis). , School of Computing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4881

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kanwal, Wasfa. “Exploring Search Engine Optimization (SEO) Techniques for Dynamic Websites.” 2011. Thesis, , School of Computing. Accessed December 07, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4881.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kanwal, Wasfa. “Exploring Search Engine Optimization (SEO) Techniques for Dynamic Websites.” 2011. Web. 07 Dec 2019.

Vancouver:

Kanwal W. Exploring Search Engine Optimization (SEO) Techniques for Dynamic Websites. [Internet] [Thesis]. , School of Computing; 2011. [cited 2019 Dec 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4881.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kanwal W. Exploring Search Engine Optimization (SEO) Techniques for Dynamic Websites. [Thesis]. , School of Computing; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4881

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Indian Institute of Science

25. Veilumuthu, Ashok. Mining Clickthrough Data To Improve Search Engine Results.

Degree: 2011, Indian Institute of Science

URL: http://hdl.handle.net/2005/2437

► In this thesis, we aim at improving the search result quality by utilizing the search intelligence (history of searches) available in the form of click-through… (more)

▼ In this thesis, we aim at improving the search result quality by utilizing the search intelligence (history of searches) available in the form of click-through data. We address two key issues, namely 1) relevance feedback extraction and fusion, and 2) deciphering search query intentions. Relevance Feedback Extraction and Fusion: The existing search engines depend heavily on the web linkage structure in the form of hyperlinks to determine the relevance and importance of the documents. But these are collective judgments given by the page authors and hence, prone to collaborated spamming. To overcome the spamming attempts and language semantic issues, it is also important to incorporate the user feedback on the documents' relevance. Since users can be hardly motivated to give explicit/direct feedback on search quality, it becomes necessary to consider implicit feedback that can be collected from search engine logs. Though a number of implicit feedback measures have been proposed in the literature, we have not been able to identify studies that aggregate those feedbacks in a meaningful way to get a final ranking of documents. In this thesis, we first evaluate two implicit feedback measures namely 1) click sequence and 2) time spent on the document for their content uniqueness. We develop a mathematical programming model to collate the feedbacks collected from different sessions into a single ranking of documents. We use Kendall's τ rank correlation to determine the uniqueness of the information content present in the individual feedbacks. The experimental evaluation on top 30 select queries from an actual search log data confirms that these two measures are not in perfect agreement and hence, incremental information can potentially be derived from them. Next, we study the feedback fusion problem in which the user feedbacks from various sessions need to be combined meaningfully. Preference aggregation is a classical problem in economics and we study a variation of it where the rankers, i.e., the feedbacks, possess different expertise. We extend the generalized Mallows' model to model the feedback rankings given in user sessions. We propose a single stage and two stage aggregation framework to combine different feedbacks into one final ranking by taking their respective expertise into consideration. We show that the complexity of the parameter estimation problem is exponential in number of documents and queries. We develop two scalable heuristics namely, 1) a greedy algorithm, and 2) a weight based heuristic, that can closely approximate the solution. We also establish the goodness of fit of the model by testing it on actual log data through log-likelihood ratio test. As the independent evaluation of documents is not available, we conduct experiments on synthetic datasets devised appropriately to examine the various merits of the heuristics. The experimental results confirm the possibility of expertise oriented aggregation of feedbacks by producing orderings better than both the best ranker as well as equi-weight… Advisors/Committee Members: search?q=%2Bpublisher%3A%22Indian%20Institute%20of%20Science%22%20%2Bcontributor%3A%28%22Ramachandran%2C%20Parthasarathy%22%29&pagesize-30">Ramachandran, Parthasarathy.

Subjects/Keywords: Data Mining (Special Computer Methods); Search Engine (Computer Science); Information Search and Retrieval; Clickthrough Data Mining; Implicit Releveance Feedback; Rank Aggregation; Query Clustering; Intent Clustering; Search Engine Log Files; Search Engine Query Log; Search Engine Log Queries; Ranking Models; Computer Science

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Veilumuthu, A. (2011). Mining Clickthrough Data To Improve Search Engine Results. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/2437

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Veilumuthu, Ashok. “Mining Clickthrough Data To Improve Search Engine Results.” 2011. Thesis, Indian Institute of Science. Accessed December 07, 2019. http://hdl.handle.net/2005/2437.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Veilumuthu, Ashok. “Mining Clickthrough Data To Improve Search Engine Results.” 2011. Web. 07 Dec 2019.

Vancouver:

Veilumuthu A. Mining Clickthrough Data To Improve Search Engine Results. [Internet] [Thesis]. Indian Institute of Science; 2011. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2005/2437.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Veilumuthu A. Mining Clickthrough Data To Improve Search Engine Results. [Thesis]. Indian Institute of Science; 2011. Available from: http://hdl.handle.net/2005/2437

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Dalhousie University

26. Dickinson, Zoe. Public Libraries and Search Engines.

Degree: Master of Library and Information Studies, School of Information Management, 2016, Dalhousie University

URL: http://hdl.handle.net/10222/71421

► Although public libraries are dedicated to connecting people to information, the information resources offered by many Canadian libraries are currently inaccessible to search engine indexing… (more)

Subjects/Keywords: search engines; public libraries; visibility; search engine optimization; accessibility; Google; discoverability; online; internet

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Dickinson, Z. (2016). Public Libraries and Search Engines. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/71421

Chicago Manual of Style (16^th Edition):

Dickinson, Zoe. “Public Libraries and Search Engines.” 2016. Masters Thesis, Dalhousie University. Accessed December 07, 2019. http://hdl.handle.net/10222/71421.

MLA Handbook (7^th Edition):

Dickinson, Zoe. “Public Libraries and Search Engines.” 2016. Web. 07 Dec 2019.

Vancouver:

Dickinson Z. Public Libraries and Search Engines. [Internet] [Masters thesis]. Dalhousie University; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10222/71421.

Council of Science Editors:

Dickinson Z. Public Libraries and Search Engines. [Masters Thesis]. Dalhousie University; 2016. Available from: http://hdl.handle.net/10222/71421

RMIT University

27. A Hamid, R. Image search: an investigation of factors affecting search behaviour of users.

Degree: 2017, RMIT University

URL: http://researchbank.rmit.edu.au/view/rmit:162157

► Searching for images can be challenging. How users search for images is governed by their information need. Nevertheless, in fulfilling their information need, users are… (more)

▼ Searching for images can be challenging. How users search for images is governed by their information need. Nevertheless, in fulfilling their information need, users are often affected by subjective factors. These factors include topic familiarity, task difficulty, relevance criteria and satisfaction. This thesis focuses on three research questions exploring how image information needs together with these factors affect online web users' searching behaviour. The questions are: 1. How does image information need affect the criteria users apply when selecting relevant images? 2. How do different factors in image retrieval affect users' image searching behaviour? 3. Can we identify image information needs solely from user queries? In addressing these challenges, we conducted both user studies and proxy log analysis to complement each other. User studies are conducted in a laboratory setting and the needs are artificial, while proxy log captures users' actual needs and behaviour in the wild. The main user study involved 48 students of various disciplines from RMIT University. In the study, we represent image information needs as types of tasks. Data were collected from questionnaires and screen capture recordings. The questionnaire was used to collect data on criteria users find important when judging image relevance and perception on the effects of subjective factors to their searching. Screen capture recordings of their search activities were observed and time stamped to identify and measure search and retrieval behaviour. These measures were used to evaluate the effects of subjective factors on users' image search behaviour. The results showed in judging image relevance, users may apply similar criteria, however, the importance of these criteria depend on the types of image. Similarly, ratings of users' perception on aspects of performing image search show they were task dependent and that effect of different aspects were related. Users were more affected by familiarity and satisfaction when performing difficult image search tasks. Results of correlation suggest that users' perception of aspects of performing image search did not always correspond with their actual search behaviour. However, for some subjective aspects of user search behaviour, we have identified particular objective measures that correlate well with that aspect. The examination of users' queries in proxy logs, shows that users search for unambiguous images more frequently compared to conceptual images. Their sessions are short with two to three terms per query. When analysing queries from logs, we are actually making a guess of what users were searching for. However, by examining the way users modify/reformulate their queries may give an indication of their information need. Results show, that users frequently submit new queries or replace terms from their previous query rather than revising the query into more depth or breadth. Similar findings were found when compared with the user study data, whereby users in…

Subjects/Keywords: Fields of Research; Web search engine; Image; User study; Relevance criteria; Subjective factors; Search behaviour

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

A Hamid, R. (2017). Image search: an investigation of factors affecting search behaviour of users. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162157

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

A Hamid, R. “Image search: an investigation of factors affecting search behaviour of users.” 2017. Thesis, RMIT University. Accessed December 07, 2019. http://researchbank.rmit.edu.au/view/rmit:162157.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

A Hamid, R. “Image search: an investigation of factors affecting search behaviour of users.” 2017. Web. 07 Dec 2019.

Vancouver:

A Hamid R. Image search: an investigation of factors affecting search behaviour of users. [Internet] [Thesis]. RMIT University; 2017. [cited 2019 Dec 07]. Available from: http://researchbank.rmit.edu.au/view/rmit:162157.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

A Hamid R. Image search: an investigation of factors affecting search behaviour of users. [Thesis]. RMIT University; 2017. Available from: http://researchbank.rmit.edu.au/view/rmit:162157

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Carman, Stephen H. Algseer: An Architecture For Extraction, Indexing And.

Degree: MS, Information Sciences and Technology, 2013, Penn State University

URL: https://etda.libraries.psu.edu/catalog/18436

► Algorithms are ubiquitous in the computer science literature. Is is very rare to see a publication in computer science that does not introduce or cite… (more)

Subjects/Keywords: search; search engine; computer science

…search- 2 ing for algorithms. AlgSeer is designed to be a free-standing search engine that… …for a number of the specialty search engine architectures coming out of the CiteSeerX group… …However, the difference from this work and what Teregowda proposed is that the search engine… …these specialty engines. TableSeer is a specialty search engine for the extracting, indexing… …Scholar and Academic. Wolfram Alpha is a semantic search engine that allows more natural…

2 more images…

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Carman, S. H. (2013). Algseer: An Architecture For Extraction, Indexing And. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/18436

Chicago Manual of Style (16^th Edition):

Carman, Stephen H. “Algseer: An Architecture For Extraction, Indexing And.” 2013. Masters Thesis, Penn State University. Accessed December 07, 2019. https://etda.libraries.psu.edu/catalog/18436.

MLA Handbook (7^th Edition):

Carman, Stephen H. “Algseer: An Architecture For Extraction, Indexing And.” 2013. Web. 07 Dec 2019.

Vancouver:

Carman SH. Algseer: An Architecture For Extraction, Indexing And. [Internet] [Masters thesis]. Penn State University; 2013. [cited 2019 Dec 07]. Available from: https://etda.libraries.psu.edu/catalog/18436.

Council of Science Editors:

Carman SH. Algseer: An Architecture For Extraction, Indexing And. [Masters Thesis]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/18436

Brno University of Technology

29. Hák, Karel. Nástroj pro vyhodnocování optimalizace webových stránek .

Degree: 2010, Brno University of Technology

URL: http://hdl.handle.net/11012/56160

► Práce se zabývá principy webových vyhledávačů, způsoby, jakými lze webové stránky optimalizovat pro vyhledávače a návrhem nástroje, který bude na základě zvolených parametrů (klíčová slova,… (more)

Subjects/Keywords: optimalizace pro vyhledávače; seo; vyhledávače; php; search engine optimization; seo; search engines; php

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hák, K. (2010). Nástroj pro vyhodnocování optimalizace webových stránek . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/56160

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Hák, Karel. “Nástroj pro vyhodnocování optimalizace webových stránek .” 2010. Thesis, Brno University of Technology. Accessed December 07, 2019. http://hdl.handle.net/11012/56160.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Hák, Karel. “Nástroj pro vyhodnocování optimalizace webových stránek .” 2010. Web. 07 Dec 2019.

Vancouver:

Hák K. Nástroj pro vyhodnocování optimalizace webových stránek . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/11012/56160.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hák K. Nástroj pro vyhodnocování optimalizace webových stránek . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/56160

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waikato

30. Vanderschantz, Nicholas. KidsQuestions: Assisting Children’s Digital Information Seeking .

Degree: 2016, University of Waikato

URL: http://hdl.handle.net/10289/10811

► The work presented in this thesis aims at supporting children’s digital information seeking. Children are known to have difficulties effectively using the information technologies that… (more)

▼ The work presented in this thesis aims at supporting children’s digital information seeking. Children are known to have difficulties effectively using the information technologies that are available to them. We hypothesize that an interaction model specifically designed to align with the inquiry-based pedagogies common in education today would be beneficial for children’s digital information search. This thesis verifies this hypothesis by considering the example of the New Zealand education system. Within this context, a requirements analysis is undertaken involving children, parents, and teachers. Through a range of user studies, we identify the information seeking practices and the issues school children encounter when using contemporary digital information seeking technology. We found that contemporary internet search engines are used regularly during daily educational pursuits, and identify children’s issues constructing and reconstructing search queries, identifying websites that will contain relevant information, and mistaken repeat visiting of websites. Internet search engines do not align with how children are taught to search for information. In particular, inquiry-based learning approaches taught in schools, are not appropriately supported by the available information search systems. We begin addressing our hypothesis by identifying a target age range of children for which support for information seeking could be improved. We also analyse the interfaces of current commercial internet search engines to highlight the design decisions and to assist with the development of requirements. Activity theory is used as a lens to analyse the results of our studies in order to develop a list of requirements for an interaction model for children’s information seeking. These requirements are then used to design our interaction model. To examine this interaction model we developed an interface prototype, KidsQuestions. A final user study evaluates the effectiveness of our interaction model by exploring school children’s use of our KidsQuestions prototype. Our approach to designing a child-oriented interaction model differs from the common approach of using child-specific design devices such as colour, avatars, or results list simplification. Instead, our interaction model explores the requirements for children’s information seeking by aligning with appropriate phases of the inquiry-based learning frameworks children are taught. By addressing the inquiry practices of children through interface elements that support query construction, query reconstruction, along with search planning tools, KidsQuestions can assist children’s digital information seeking. While our interaction model and interface prototype are developed and designed particularly with children in mind, KidsQuestions is not a system that should be considered solely a children’s search engine. We believe that its features can be beneficial to children and adults alike, and future work will investigate the use of our prototype with a wider… Advisors/Committee Members: search?q=%2Bpublisher%3A%22University%20of%20Waikato%22%20%2Bcontributor%3A%28%22Hinze%2C%20Annika%22%29&pagesize-30">Hinze, Annika (advisor), search?q=%2Bpublisher%3A%22University%20of%20Waikato%22%20%2Bcontributor%3A%28%22Cunningham%2C%20Sally%20Jo%22%29&pagesize-30">Cunningham, Sally Jo (advisor).

Subjects/Keywords: Internet Search; Children; Information Search; Information Seeking; Internet Search Engine; Inquiry Based Learning; HCI; Interface Design; User Experience Design

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Vanderschantz, N. (2016). KidsQuestions: Assisting Children’s Digital Information Seeking . (Doctoral Dissertation). University of Waikato. Retrieved from http://hdl.handle.net/10289/10811

Chicago Manual of Style (16^th Edition):

Vanderschantz, Nicholas. “KidsQuestions: Assisting Children’s Digital Information Seeking .” 2016. Doctoral Dissertation, University of Waikato. Accessed December 07, 2019. http://hdl.handle.net/10289/10811.

MLA Handbook (7^th Edition):

Vanderschantz, Nicholas. “KidsQuestions: Assisting Children’s Digital Information Seeking .” 2016. Web. 07 Dec 2019.

Vancouver:

Vanderschantz N. KidsQuestions: Assisting Children’s Digital Information Seeking . [Internet] [Doctoral dissertation]. University of Waikato; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10289/10811.

Council of Science Editors:

Vanderschantz N. KidsQuestions: Assisting Children’s Digital Information Seeking . [Doctoral Dissertation]. University of Waikato; 2016. Available from: http://hdl.handle.net/10289/10811

		in
And / Or
		in
And / Or
		in
And / Or
		in

Open Access Theses and Dissertations