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You searched for subject:(Information filtering). Showing records 1 – 30 of 184 total matches.

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University of Johannesburg

1. Leonard, Justin Sean. PerTrust : leveraging personality and trust for group recommendations.

Degree: 2014, University of Johannesburg

M.Sc. (Information Technology)

Recommender systems assist a system user to identify relevant content within a specific context. This is typically performed through an analysis of… (more)

Subjects/Keywords: Recommender systems (Information filtering); Information filtering systems

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

APA (6th Edition):

Leonard, J. S. (2014). PerTrust : leveraging personality and trust for group recommendations. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/11364

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

Chicago Manual of Style (16th Edition):

Leonard, Justin Sean. “PerTrust : leveraging personality and trust for group recommendations.” 2014. Thesis, University of Johannesburg. Accessed February 20, 2020. http://hdl.handle.net/10210/11364.

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

MLA Handbook (7th Edition):

Leonard, Justin Sean. “PerTrust : leveraging personality and trust for group recommendations.” 2014. Web. 20 Feb 2020.

Vancouver:

Leonard JS. PerTrust : leveraging personality and trust for group recommendations. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/10210/11364.

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

Council of Science Editors:

Leonard JS. PerTrust : leveraging personality and trust for group recommendations. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/11364

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


University of Hong Kong

2. Lu, Ziyu. Location-aware recommendation problems.

Degree: PhD, 2016, University of Hong Kong

 Recommendation problems have been extensively studied in many areas, e.g. product recommendation in E-commerce sites and location recommendation in location-based social sites. With the development… (more)

Subjects/Keywords: Recommender systems (Information filtering)

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

APA (6th Edition):

Lu, Z. (2016). Location-aware recommendation problems. (Doctoral Dissertation). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/235924

Chicago Manual of Style (16th Edition):

Lu, Ziyu. “Location-aware recommendation problems.” 2016. Doctoral Dissertation, University of Hong Kong. Accessed February 20, 2020. http://hdl.handle.net/10722/235924.

MLA Handbook (7th Edition):

Lu, Ziyu. “Location-aware recommendation problems.” 2016. Web. 20 Feb 2020.

Vancouver:

Lu Z. Location-aware recommendation problems. [Internet] [Doctoral dissertation]. University of Hong Kong; 2016. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/10722/235924.

Council of Science Editors:

Lu Z. Location-aware recommendation problems. [Doctoral Dissertation]. University of Hong Kong; 2016. Available from: http://hdl.handle.net/10722/235924


University of Sydney

3. Green, Todd James. Noise Filtering in Quantum Information .

Degree: 2016, University of Sydney

 We present novel techniques for modelling and mitigating the effects of time-dependent noise created by interactions between a quantum system and its environment, and by… (more)

Subjects/Keywords: Quantum; Control; Information; Noise; Filtering

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APA (6th Edition):

Green, T. J. (2016). Noise Filtering in Quantum Information . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/16271

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

Chicago Manual of Style (16th Edition):

Green, Todd James. “Noise Filtering in Quantum Information .” 2016. Thesis, University of Sydney. Accessed February 20, 2020. http://hdl.handle.net/2123/16271.

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

MLA Handbook (7th Edition):

Green, Todd James. “Noise Filtering in Quantum Information .” 2016. Web. 20 Feb 2020.

Vancouver:

Green TJ. Noise Filtering in Quantum Information . [Internet] [Thesis]. University of Sydney; 2016. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/2123/16271.

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

Council of Science Editors:

Green TJ. Noise Filtering in Quantum Information . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/16271

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


Rutgers University

4. Hu, Jun, 1988-. Collaborative ranking-based recommender systems.

Degree: PhD, Computer Science, 2018, Rutgers University

Recommender systems are by far one of the most successful applications of big data and machine learning. The goal of recommender systems is to find… (more)

Subjects/Keywords: Recommender systems (Information filtering)

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

APA (6th Edition):

Hu, Jun, 1. (2018). Collaborative ranking-based recommender systems. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/59115/

Chicago Manual of Style (16th Edition):

Hu, Jun, 1988-. “Collaborative ranking-based recommender systems.” 2018. Doctoral Dissertation, Rutgers University. Accessed February 20, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/59115/.

MLA Handbook (7th Edition):

Hu, Jun, 1988-. “Collaborative ranking-based recommender systems.” 2018. Web. 20 Feb 2020.

Vancouver:

Hu, Jun 1. Collaborative ranking-based recommender systems. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2020 Feb 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59115/.

Council of Science Editors:

Hu, Jun 1. Collaborative ranking-based recommender systems. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59115/


Hong Kong University of Science and Technology

5. Zhao, Pengfei CSE. Novelty and diversity based recommendation systems.

Degree: 2016, Hong Kong University of Science and Technology

 Traditional recommendation systems aim at generating recommendations that are relevant to the user’s interest. Thus, they are called relevance-based recommendation systems (RBRSs). The major drawback… (more)

Subjects/Keywords: Recommender systems (Information filtering)

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APA (6th Edition):

Zhao, P. C. (2016). Novelty and diversity based recommendation systems. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-100374 ; https://doi.org/10.14711/thesis-b1628146 ; http://repository.ust.hk/ir/bitstream/1783.1-100374/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Zhao, Pengfei CSE. “Novelty and diversity based recommendation systems.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed February 20, 2020. http://repository.ust.hk/ir/Record/1783.1-100374 ; https://doi.org/10.14711/thesis-b1628146 ; http://repository.ust.hk/ir/bitstream/1783.1-100374/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhao, Pengfei CSE. “Novelty and diversity based recommendation systems.” 2016. Web. 20 Feb 2020.

Vancouver:

Zhao PC. Novelty and diversity based recommendation systems. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2020 Feb 20]. Available from: http://repository.ust.hk/ir/Record/1783.1-100374 ; https://doi.org/10.14711/thesis-b1628146 ; http://repository.ust.hk/ir/bitstream/1783.1-100374/1/th_redirect.html.

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

Council of Science Editors:

Zhao PC. Novelty and diversity based recommendation systems. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: http://repository.ust.hk/ir/Record/1783.1-100374 ; https://doi.org/10.14711/thesis-b1628146 ; http://repository.ust.hk/ir/bitstream/1783.1-100374/1/th_redirect.html

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


George Mason University

6. Jeong, Hanjo. Hybrid filtering in Semantic Query Processing .

Degree: 2011, George Mason University

 This dissertation presents a hybrid filtering method and a case-based reasoning framework for enhancing the effectiveness of Web search. Web search may not reflect user… (more)

Subjects/Keywords: hybrid filtering; collaborative filtering; content-based filtering; semantic web; information search; ontology

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

APA (6th Edition):

Jeong, H. (2011). Hybrid filtering in Semantic Query Processing . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/6313

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

Chicago Manual of Style (16th Edition):

Jeong, Hanjo. “Hybrid filtering in Semantic Query Processing .” 2011. Thesis, George Mason University. Accessed February 20, 2020. http://hdl.handle.net/1920/6313.

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

MLA Handbook (7th Edition):

Jeong, Hanjo. “Hybrid filtering in Semantic Query Processing .” 2011. Web. 20 Feb 2020.

Vancouver:

Jeong H. Hybrid filtering in Semantic Query Processing . [Internet] [Thesis]. George Mason University; 2011. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1920/6313.

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

Council of Science Editors:

Jeong H. Hybrid filtering in Semantic Query Processing . [Thesis]. George Mason University; 2011. Available from: http://hdl.handle.net/1920/6313

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


NSYSU

7. Chang, Chih-hsuan. Hardware Design of Stereo Matching Based on Guided Image Filtering.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 Stereo vision has many applications, including 3D movies and the recent advanced driver assisted systems (ADAS). In stereo vision, stereo matching of generating depth information(more)

Subjects/Keywords: stereo vision; stereo matching; depth information; mean filtering; guided image filtering

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APA (6th Edition):

Chang, C. (2017). Hardware Design of Stereo Matching Based on Guided Image Filtering. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728117-232935

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

Chicago Manual of Style (16th Edition):

Chang, Chih-hsuan. “Hardware Design of Stereo Matching Based on Guided Image Filtering.” 2017. Thesis, NSYSU. Accessed February 20, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728117-232935.

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

MLA Handbook (7th Edition):

Chang, Chih-hsuan. “Hardware Design of Stereo Matching Based on Guided Image Filtering.” 2017. Web. 20 Feb 2020.

Vancouver:

Chang C. Hardware Design of Stereo Matching Based on Guided Image Filtering. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Feb 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728117-232935.

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

Council of Science Editors:

Chang C. Hardware Design of Stereo Matching Based on Guided Image Filtering. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728117-232935

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


University of Hong Kong

8. 譚銘威.; Tam, Ming-wai. Scalable collaborative filtering using updatable indexing.

Degree: M. Phil., 2008, University of Hong Kong

published_or_final_version

Computer Science

Master

Master of Philosophy

Advisors/Committee Members: Mamoulis, N.

Subjects/Keywords: Information filtering systems.

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

APA (6th Edition):

譚銘威.; Tam, M. (2008). Scalable collaborative filtering using updatable indexing. (Masters Thesis). University of Hong Kong. Retrieved from Tam, M. [譚銘威]. (2008). Scalable collaborative filtering using updatable indexing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4068735 ; http://dx.doi.org/10.5353/th_b4068735 ; http://hdl.handle.net/10722/50830

Chicago Manual of Style (16th Edition):

譚銘威.; Tam, Ming-wai. “Scalable collaborative filtering using updatable indexing.” 2008. Masters Thesis, University of Hong Kong. Accessed February 20, 2020. Tam, M. [譚銘威]. (2008). Scalable collaborative filtering using updatable indexing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4068735 ; http://dx.doi.org/10.5353/th_b4068735 ; http://hdl.handle.net/10722/50830.

MLA Handbook (7th Edition):

譚銘威.; Tam, Ming-wai. “Scalable collaborative filtering using updatable indexing.” 2008. Web. 20 Feb 2020.

Vancouver:

譚銘威.; Tam M. Scalable collaborative filtering using updatable indexing. [Internet] [Masters thesis]. University of Hong Kong; 2008. [cited 2020 Feb 20]. Available from: Tam, M. [譚銘威]. (2008). Scalable collaborative filtering using updatable indexing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4068735 ; http://dx.doi.org/10.5353/th_b4068735 ; http://hdl.handle.net/10722/50830.

Council of Science Editors:

譚銘威.; Tam M. Scalable collaborative filtering using updatable indexing. [Masters Thesis]. University of Hong Kong; 2008. Available from: Tam, M. [譚銘威]. (2008). Scalable collaborative filtering using updatable indexing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4068735 ; http://dx.doi.org/10.5353/th_b4068735 ; http://hdl.handle.net/10722/50830


University of Hong Kong

9. Li, Hui. Social network based recommender systems.

Degree: M. Phil., 2015, University of Hong Kong

Recommender systems have become de facto tools for suggesting items that are of potential interest to users and achieving great success in e-commerce. Many famous… (more)

Subjects/Keywords: Online social networks; Recommender systems (Information filtering)

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

APA (6th Edition):

Li, H. (2015). Social network based recommender systems. (Masters Thesis). University of Hong Kong. Retrieved from Li, H. [李輝]. (2015). Social network based recommender systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5610991 ; http://hdl.handle.net/10722/221187

Chicago Manual of Style (16th Edition):

Li, Hui. “Social network based recommender systems.” 2015. Masters Thesis, University of Hong Kong. Accessed February 20, 2020. Li, H. [李輝]. (2015). Social network based recommender systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5610991 ; http://hdl.handle.net/10722/221187.

MLA Handbook (7th Edition):

Li, Hui. “Social network based recommender systems.” 2015. Web. 20 Feb 2020.

Vancouver:

Li H. Social network based recommender systems. [Internet] [Masters thesis]. University of Hong Kong; 2015. [cited 2020 Feb 20]. Available from: Li, H. [李輝]. (2015). Social network based recommender systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5610991 ; http://hdl.handle.net/10722/221187.

Council of Science Editors:

Li H. Social network based recommender systems. [Masters Thesis]. University of Hong Kong; 2015. Available from: Li, H. [李輝]. (2015). Social network based recommender systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5610991 ; http://hdl.handle.net/10722/221187


University of Hong Kong

10. 江浩; Jiang, Hao. Personalized web search re-ranking and content recommendation.

Degree: PhD, 2013, University of Hong Kong

 In this thesis, I propose a method for establishing a personalized recommendation system for re-ranking web search results and recommending web contents. The method is… (more)

Subjects/Keywords: Web usage mining; Recommender systems (Information filtering)

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

APA (6th Edition):

江浩; Jiang, H. (2013). Personalized web search re-ranking and content recommendation. (Doctoral Dissertation). University of Hong Kong. Retrieved from Jiang, H. [江浩]. (2013). Personalized web search re-ranking and content recommendation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5194774 ; http://dx.doi.org/10.5353/th_b5194774 ; http://hdl.handle.net/10722/197548

Chicago Manual of Style (16th Edition):

江浩; Jiang, Hao. “Personalized web search re-ranking and content recommendation.” 2013. Doctoral Dissertation, University of Hong Kong. Accessed February 20, 2020. Jiang, H. [江浩]. (2013). Personalized web search re-ranking and content recommendation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5194774 ; http://dx.doi.org/10.5353/th_b5194774 ; http://hdl.handle.net/10722/197548.

MLA Handbook (7th Edition):

江浩; Jiang, Hao. “Personalized web search re-ranking and content recommendation.” 2013. Web. 20 Feb 2020.

Vancouver:

江浩; Jiang H. Personalized web search re-ranking and content recommendation. [Internet] [Doctoral dissertation]. University of Hong Kong; 2013. [cited 2020 Feb 20]. Available from: Jiang, H. [江浩]. (2013). Personalized web search re-ranking and content recommendation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5194774 ; http://dx.doi.org/10.5353/th_b5194774 ; http://hdl.handle.net/10722/197548.

Council of Science Editors:

江浩; Jiang H. Personalized web search re-ranking and content recommendation. [Doctoral Dissertation]. University of Hong Kong; 2013. Available from: Jiang, H. [江浩]. (2013). Personalized web search re-ranking and content recommendation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5194774 ; http://dx.doi.org/10.5353/th_b5194774 ; http://hdl.handle.net/10722/197548

11. Khan, Rais. To design a system on information filtering in web; -.

Degree: Computer Science, 2013, INFLIBNET

None

Bibliography p.296-313

Advisors/Committee Members: Singh, R A.

Subjects/Keywords: Information filtering; Web

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

APA (6th Edition):

Khan, R. (2013). To design a system on information filtering in web; -. (Thesis). INFLIBNET. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/38863

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

Chicago Manual of Style (16th Edition):

Khan, Rais. “To design a system on information filtering in web; -.” 2013. Thesis, INFLIBNET. Accessed February 20, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/38863.

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

MLA Handbook (7th Edition):

Khan, Rais. “To design a system on information filtering in web; -.” 2013. Web. 20 Feb 2020.

Vancouver:

Khan R. To design a system on information filtering in web; -. [Internet] [Thesis]. INFLIBNET; 2013. [cited 2020 Feb 20]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38863.

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

Council of Science Editors:

Khan R. To design a system on information filtering in web; -. [Thesis]. INFLIBNET; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38863

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


Ryerson University

12. Sivapalan, Sanjeevan. A genetic algorithm approach to recommender system cold start problem.

Degree: 2015, Ryerson University

 Recommender systems (RS) are ubiquitous and used in many systems to augment user experience to improve usability and they achieve this by helping users discover… (more)

Subjects/Keywords: Recommender systems (Information filtering); Genetic algorithms.

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APA (6th Edition):

Sivapalan, S. (2015). A genetic algorithm approach to recommender system cold start problem. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A3664

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

Chicago Manual of Style (16th Edition):

Sivapalan, Sanjeevan. “A genetic algorithm approach to recommender system cold start problem.” 2015. Thesis, Ryerson University. Accessed February 20, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A3664.

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

MLA Handbook (7th Edition):

Sivapalan, Sanjeevan. “A genetic algorithm approach to recommender system cold start problem.” 2015. Web. 20 Feb 2020.

Vancouver:

Sivapalan S. A genetic algorithm approach to recommender system cold start problem. [Internet] [Thesis]. Ryerson University; 2015. [cited 2020 Feb 20]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3664.

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

Council of Science Editors:

Sivapalan S. A genetic algorithm approach to recommender system cold start problem. [Thesis]. Ryerson University; 2015. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3664

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


Ryerson University

13. Islam, Masudul. Personalized recommender system on whom to follow in Twitter.

Degree: 2014, Ryerson University

 Recommender systems have been widely used in social networking sites. In this thesis, we propose a novel approach to recommend new followees to Twitter users… (more)

Subjects/Keywords: Recommender systems (Information filtering); Online social networks

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APA (6th Edition):

Islam, M. (2014). Personalized recommender system on whom to follow in Twitter. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A2958

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

Chicago Manual of Style (16th Edition):

Islam, Masudul. “Personalized recommender system on whom to follow in Twitter.” 2014. Thesis, Ryerson University. Accessed February 20, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A2958.

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

MLA Handbook (7th Edition):

Islam, Masudul. “Personalized recommender system on whom to follow in Twitter.” 2014. Web. 20 Feb 2020.

Vancouver:

Islam M. Personalized recommender system on whom to follow in Twitter. [Internet] [Thesis]. Ryerson University; 2014. [cited 2020 Feb 20]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A2958.

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

Council of Science Editors:

Islam M. Personalized recommender system on whom to follow in Twitter. [Thesis]. Ryerson University; 2014. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A2958

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


Cornell University

14. Zhao, XiaoTing. Exploration Vs. Exploitation In The Information Filtering Problem And Its Application In Arxiv.Org .

Degree: 2015, Cornell University

 We consider information filtering, in which we face a stream of items too voluminous to process by hand (e.g., scientific articles, blog posts, emails), and… (more)

Subjects/Keywords: Exploration vs. Exploitation; Information Filtering Problem

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APA (6th Edition):

Zhao, X. (2015). Exploration Vs. Exploitation In The Information Filtering Problem And Its Application In Arxiv.Org . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/41173

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

Chicago Manual of Style (16th Edition):

Zhao, XiaoTing. “Exploration Vs. Exploitation In The Information Filtering Problem And Its Application In Arxiv.Org .” 2015. Thesis, Cornell University. Accessed February 20, 2020. http://hdl.handle.net/1813/41173.

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

MLA Handbook (7th Edition):

Zhao, XiaoTing. “Exploration Vs. Exploitation In The Information Filtering Problem And Its Application In Arxiv.Org .” 2015. Web. 20 Feb 2020.

Vancouver:

Zhao X. Exploration Vs. Exploitation In The Information Filtering Problem And Its Application In Arxiv.Org . [Internet] [Thesis]. Cornell University; 2015. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1813/41173.

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

Council of Science Editors:

Zhao X. Exploration Vs. Exploitation In The Information Filtering Problem And Its Application In Arxiv.Org . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41173

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


Hong Kong University of Science and Technology

15. Lu, Zhongqi. Selective transfer learning for cross domain recommendation.

Degree: 2013, Hong Kong University of Science and Technology

 Collaborative Filtering (CF) aims to predict users’ ratings on items according to historical user-itempreference data. In many real-world applications, preference data are usually sparse, which… (more)

Subjects/Keywords: Recommender systems (Information filtering) ; Machine learning

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

APA (6th Edition):

Lu, Z. (2013). Selective transfer learning for cross domain recommendation. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7976 ; https://doi.org/10.14711/thesis-b1240240 ; http://repository.ust.hk/ir/bitstream/1783.1-7976/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Lu, Zhongqi. “Selective transfer learning for cross domain recommendation.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed February 20, 2020. http://repository.ust.hk/ir/Record/1783.1-7976 ; https://doi.org/10.14711/thesis-b1240240 ; http://repository.ust.hk/ir/bitstream/1783.1-7976/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Lu, Zhongqi. “Selective transfer learning for cross domain recommendation.” 2013. Web. 20 Feb 2020.

Vancouver:

Lu Z. Selective transfer learning for cross domain recommendation. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2020 Feb 20]. Available from: http://repository.ust.hk/ir/Record/1783.1-7976 ; https://doi.org/10.14711/thesis-b1240240 ; http://repository.ust.hk/ir/bitstream/1783.1-7976/1/th_redirect.html.

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

Council of Science Editors:

Lu Z. Selective transfer learning for cross domain recommendation. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: http://repository.ust.hk/ir/Record/1783.1-7976 ; https://doi.org/10.14711/thesis-b1240240 ; http://repository.ust.hk/ir/bitstream/1783.1-7976/1/th_redirect.html

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


Hong Kong University of Science and Technology

16. Lu, Zhongqi. Temporal dynamics in recommender systems.

Degree: 2017, Hong Kong University of Science and Technology

 We investigate on the temporal dynamics phenomenon in recommender systems. By analyzing the public dataset from real world applications, we find the temporal dynamics phenomenon… (more)

Subjects/Keywords: Recommender systems (Information filtering) ; Mathematical models ; Analysis

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

APA (6th Edition):

Lu, Z. (2017). Temporal dynamics in recommender systems. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-87955 ; https://doi.org/10.14711/thesis-b1778947 ; http://repository.ust.hk/ir/bitstream/1783.1-87955/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Lu, Zhongqi. “Temporal dynamics in recommender systems.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed February 20, 2020. http://repository.ust.hk/ir/Record/1783.1-87955 ; https://doi.org/10.14711/thesis-b1778947 ; http://repository.ust.hk/ir/bitstream/1783.1-87955/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Lu, Zhongqi. “Temporal dynamics in recommender systems.” 2017. Web. 20 Feb 2020.

Vancouver:

Lu Z. Temporal dynamics in recommender systems. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2020 Feb 20]. Available from: http://repository.ust.hk/ir/Record/1783.1-87955 ; https://doi.org/10.14711/thesis-b1778947 ; http://repository.ust.hk/ir/bitstream/1783.1-87955/1/th_redirect.html.

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

Council of Science Editors:

Lu Z. Temporal dynamics in recommender systems. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-87955 ; https://doi.org/10.14711/thesis-b1778947 ; http://repository.ust.hk/ir/bitstream/1783.1-87955/1/th_redirect.html

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


Hong Kong University of Science and Technology

17. Liu, Bo CSE. Transferable bandit.

Degree: 2018, Hong Kong University of Science and Technology

 The booming development of Artificial Intelligence promotes a large number of online interactive services including recommender system (RecSys), online advertising, dialogue system, etc. These services… (more)

Subjects/Keywords: Recommender systems (Information filtering) ; Data processing

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

APA (6th Edition):

Liu, B. C. (2018). Transferable bandit. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-97741 ; https://doi.org/10.14711/thesis-991012675668103412 ; http://repository.ust.hk/ir/bitstream/1783.1-97741/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Liu, Bo CSE. “Transferable bandit.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed February 20, 2020. http://repository.ust.hk/ir/Record/1783.1-97741 ; https://doi.org/10.14711/thesis-991012675668103412 ; http://repository.ust.hk/ir/bitstream/1783.1-97741/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Liu, Bo CSE. “Transferable bandit.” 2018. Web. 20 Feb 2020.

Vancouver:

Liu BC. Transferable bandit. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2020 Feb 20]. Available from: http://repository.ust.hk/ir/Record/1783.1-97741 ; https://doi.org/10.14711/thesis-991012675668103412 ; http://repository.ust.hk/ir/bitstream/1783.1-97741/1/th_redirect.html.

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

Council of Science Editors:

Liu BC. Transferable bandit. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-97741 ; https://doi.org/10.14711/thesis-991012675668103412 ; http://repository.ust.hk/ir/bitstream/1783.1-97741/1/th_redirect.html

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

18. NC DOCKS at East Carolina University; Prateek, Prerna. INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM.

Degree: 2016, NC Docks

 Online shopping has developed in parallel with the Internet, and Recommendation Systems have played a pivotal role in its growth. The recommendations are usually provided… (more)

Subjects/Keywords: Machine learning; Teleshopping; Recommender systems (Information filtering)

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

APA (6th Edition):

NC DOCKS at East Carolina University; Prateek, P. (2016). INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM. (Thesis). NC Docks. Retrieved from http://libres.uncg.edu/ir/ecu/f/0000-embargo-holder.txt

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

Chicago Manual of Style (16th Edition):

NC DOCKS at East Carolina University; Prateek, Prerna. “INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM.” 2016. Thesis, NC Docks. Accessed February 20, 2020. http://libres.uncg.edu/ir/ecu/f/0000-embargo-holder.txt.

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

MLA Handbook (7th Edition):

NC DOCKS at East Carolina University; Prateek, Prerna. “INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM.” 2016. Web. 20 Feb 2020.

Vancouver:

NC DOCKS at East Carolina University; Prateek P. INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM. [Internet] [Thesis]. NC Docks; 2016. [cited 2020 Feb 20]. Available from: http://libres.uncg.edu/ir/ecu/f/0000-embargo-holder.txt.

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

Council of Science Editors:

NC DOCKS at East Carolina University; Prateek P. INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM. [Thesis]. NC Docks; 2016. Available from: http://libres.uncg.edu/ir/ecu/f/0000-embargo-holder.txt

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


Hong Kong University of Science and Technology

19. Zhao, Huan CSE. Enhancing recommender systems with rich side information.

Degree: 2019, Hong Kong University of Science and Technology

 Collaborative filtering (CF) based methods have become the most popular techniques for recommender systems (RSs). In recent years, various types of side information such as… (more)

Subjects/Keywords: Recommender systems (Information filtering) ; Information filtering systems ; Electronic data processing ; Mathematical models

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

APA (6th Edition):

Zhao, H. C. (2019). Enhancing recommender systems with rich side information. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-98382 ; https://doi.org/10.14711/thesis-991012698866403412 ; http://repository.ust.hk/ir/bitstream/1783.1-98382/2/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Zhao, Huan CSE. “Enhancing recommender systems with rich side information.” 2019. Thesis, Hong Kong University of Science and Technology. Accessed February 20, 2020. http://repository.ust.hk/ir/Record/1783.1-98382 ; https://doi.org/10.14711/thesis-991012698866403412 ; http://repository.ust.hk/ir/bitstream/1783.1-98382/2/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhao, Huan CSE. “Enhancing recommender systems with rich side information.” 2019. Web. 20 Feb 2020.

Vancouver:

Zhao HC. Enhancing recommender systems with rich side information. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2019. [cited 2020 Feb 20]. Available from: http://repository.ust.hk/ir/Record/1783.1-98382 ; https://doi.org/10.14711/thesis-991012698866403412 ; http://repository.ust.hk/ir/bitstream/1783.1-98382/2/th_redirect.html.

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

Council of Science Editors:

Zhao HC. Enhancing recommender systems with rich side information. [Thesis]. Hong Kong University of Science and Technology; 2019. Available from: http://repository.ust.hk/ir/Record/1783.1-98382 ; https://doi.org/10.14711/thesis-991012698866403412 ; http://repository.ust.hk/ir/bitstream/1783.1-98382/2/th_redirect.html

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


Stellenbosch University

20. Dumbleton, Bronwyn Catherine. Recommender systems.

Degree: MCom, Statistics and Actuarial Science, 2019, Stellenbosch University

ENGLISH ABSTRACT: A Recommender System (RS) is a particular type of information filtering system used to propose relevant items to users. Their successful application in… (more)

Subjects/Keywords: Collaborative filtering; Data sparsity; Multi-Label Classification; Recommender systems (Information filtering); Factorization (Mathematics); Information filtering systems; Supervised learning (Machine learning); UCTD

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

APA (6th Edition):

Dumbleton, B. C. (2019). Recommender systems. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/107114

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

Chicago Manual of Style (16th Edition):

Dumbleton, Bronwyn Catherine. “Recommender systems.” 2019. Thesis, Stellenbosch University. Accessed February 20, 2020. http://hdl.handle.net/10019.1/107114.

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

MLA Handbook (7th Edition):

Dumbleton, Bronwyn Catherine. “Recommender systems.” 2019. Web. 20 Feb 2020.

Vancouver:

Dumbleton BC. Recommender systems. [Internet] [Thesis]. Stellenbosch University; 2019. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/10019.1/107114.

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

Council of Science Editors:

Dumbleton BC. Recommender systems. [Thesis]. Stellenbosch University; 2019. Available from: http://hdl.handle.net/10019.1/107114

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


Portland State University

21. Cenek, Martin. Information Processing in Two-Dimensional Cellular Automata.

Degree: PhD, Computer Science, 2011, Portland State University

  Cellular automata (CA) have been widely used as idealized models of spatially-extended dynamical systems and as models of massively parallel distributed computation devices. Despite… (more)

Subjects/Keywords: Cellular automata; Information filtering systems; Information storage and retrieval systems

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APA (6th Edition):

Cenek, M. (2011). Information Processing in Two-Dimensional Cellular Automata. (Doctoral Dissertation). Portland State University. Retrieved from http://pdxscholar.library.pdx.edu/open_access_etds/275

Chicago Manual of Style (16th Edition):

Cenek, Martin. “Information Processing in Two-Dimensional Cellular Automata.” 2011. Doctoral Dissertation, Portland State University. Accessed February 20, 2020. http://pdxscholar.library.pdx.edu/open_access_etds/275.

MLA Handbook (7th Edition):

Cenek, Martin. “Information Processing in Two-Dimensional Cellular Automata.” 2011. Web. 20 Feb 2020.

Vancouver:

Cenek M. Information Processing in Two-Dimensional Cellular Automata. [Internet] [Doctoral dissertation]. Portland State University; 2011. [cited 2020 Feb 20]. Available from: http://pdxscholar.library.pdx.edu/open_access_etds/275.

Council of Science Editors:

Cenek M. Information Processing in Two-Dimensional Cellular Automata. [Doctoral Dissertation]. Portland State University; 2011. Available from: http://pdxscholar.library.pdx.edu/open_access_etds/275


Drexel University

22. Ahumada, Luis M. Hybrid Recommender Framework for the Design of Intelligent Clinical Decision Support Tools.

Degree: 2016, Drexel University

Physicians are constantly faced with making decisions under uncertainty, and despite the extraordinary advancements in the field of clinical informatics, there is a significant void… (more)

Subjects/Keywords: Information studies; Recommender systems (Information filtering); Bioinformatics; Machine learning

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APA (6th Edition):

Ahumada, L. M. (2016). Hybrid Recommender Framework for the Design of Intelligent Clinical Decision Support Tools. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:6908

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

Chicago Manual of Style (16th Edition):

Ahumada, Luis M. “Hybrid Recommender Framework for the Design of Intelligent Clinical Decision Support Tools.” 2016. Thesis, Drexel University. Accessed February 20, 2020. http://hdl.handle.net/1860/idea:6908.

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

MLA Handbook (7th Edition):

Ahumada, Luis M. “Hybrid Recommender Framework for the Design of Intelligent Clinical Decision Support Tools.” 2016. Web. 20 Feb 2020.

Vancouver:

Ahumada LM. Hybrid Recommender Framework for the Design of Intelligent Clinical Decision Support Tools. [Internet] [Thesis]. Drexel University; 2016. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1860/idea:6908.

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

Council of Science Editors:

Ahumada LM. Hybrid Recommender Framework for the Design of Intelligent Clinical Decision Support Tools. [Thesis]. Drexel University; 2016. Available from: http://hdl.handle.net/1860/idea:6908

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


Texas A&M University

23. Boddikurapati, Sirish. Sequential Monte Carlo Methods With Applications To Communication Channels.

Degree: 2010, Texas A&M University

 Estimating the state of a system from noisy measurements is a problem which arises in a variety of scientific and industrial areas which include signal… (more)

Subjects/Keywords: Particle filtering; Sequential Monte Carlo filtering; Markovian chains; Recursive Bayesian filtering; Continuous-Discrete particle filter; optical fiber propagation; capacity of optical fiber; information rate using particle filtering

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APA (6th Edition):

Boddikurapati, S. (2010). Sequential Monte Carlo Methods With Applications To Communication Channels. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537

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

Chicago Manual of Style (16th Edition):

Boddikurapati, Sirish. “Sequential Monte Carlo Methods With Applications To Communication Channels.” 2010. Thesis, Texas A&M University. Accessed February 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537.

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

MLA Handbook (7th Edition):

Boddikurapati, Sirish. “Sequential Monte Carlo Methods With Applications To Communication Channels.” 2010. Web. 20 Feb 2020.

Vancouver:

Boddikurapati S. Sequential Monte Carlo Methods With Applications To Communication Channels. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537.

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

Council of Science Editors:

Boddikurapati S. Sequential Monte Carlo Methods With Applications To Communication Channels. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537

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


Drexel University

24. Jarrett, Julian. Worker-Job Recommendation for Mixed Crowdsourcing Systems: Algorithms, Models, Metrics and Service-Oriented Architecture.

Degree: 2017, Drexel University

Crowdsourcing is used as model to distribute work over the Internet via an open call to anonymous human workers, who opt to take up work… (more)

Subjects/Keywords: Computer science; Information science; Information technology; Human computation; Human beings; Machinery; Recommender systems (Information filtering)

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

APA (6th Edition):

Jarrett, J. (2017). Worker-Job Recommendation for Mixed Crowdsourcing Systems: Algorithms, Models, Metrics and Service-Oriented Architecture. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7815

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

Chicago Manual of Style (16th Edition):

Jarrett, Julian. “Worker-Job Recommendation for Mixed Crowdsourcing Systems: Algorithms, Models, Metrics and Service-Oriented Architecture.” 2017. Thesis, Drexel University. Accessed February 20, 2020. http://hdl.handle.net/1860/idea:7815.

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

MLA Handbook (7th Edition):

Jarrett, Julian. “Worker-Job Recommendation for Mixed Crowdsourcing Systems: Algorithms, Models, Metrics and Service-Oriented Architecture.” 2017. Web. 20 Feb 2020.

Vancouver:

Jarrett J. Worker-Job Recommendation for Mixed Crowdsourcing Systems: Algorithms, Models, Metrics and Service-Oriented Architecture. [Internet] [Thesis]. Drexel University; 2017. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1860/idea:7815.

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

Council of Science Editors:

Jarrett J. Worker-Job Recommendation for Mixed Crowdsourcing Systems: Algorithms, Models, Metrics and Service-Oriented Architecture. [Thesis]. Drexel University; 2017. Available from: http://hdl.handle.net/1860/idea:7815

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


East Carolina University

25. Prateek, Prerna. INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM.

Degree: 2016, East Carolina University

 Online shopping has developed in parallel with the Internet, and Recommendation Systems have played a pivotal role in its growth. The recommendations are usually provided… (more)

Subjects/Keywords: Image Retrieval; Neural Network; Recommender systems (Information filtering); Machine learning; Teleshopping

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

APA (6th Edition):

Prateek, P. (2016). INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM. (Thesis). East Carolina University. Retrieved from http://hdl.handle.net/10342/6004

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

Chicago Manual of Style (16th Edition):

Prateek, Prerna. “INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM.” 2016. Thesis, East Carolina University. Accessed February 20, 2020. http://hdl.handle.net/10342/6004.

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

MLA Handbook (7th Edition):

Prateek, Prerna. “INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM.” 2016. Web. 20 Feb 2020.

Vancouver:

Prateek P. INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM. [Internet] [Thesis]. East Carolina University; 2016. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/10342/6004.

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

Council of Science Editors:

Prateek P. INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM. [Thesis]. East Carolina University; 2016. Available from: http://hdl.handle.net/10342/6004

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

26. Wang, Shiguang. On information filtering in social sensing.

Degree: PhD, Computer Science, 2017, University of Illinois – Urbana-Champaign

 For decades, from the invention of Sensor Networks, people envisioned a global sensing platform with millions of sensors deployed globally. The platform has finally become… (more)

Subjects/Keywords: Social sensing; Information filtering

…semantics comprise the challenges in this level of filtering. • Information-Maximization Data… …challenges by designing a systematic information filtering system that is overviewed in the next… …been studied in many recent literature, and it is the first level of information filtering… …focuses of this level of information filtering. We develop a service, called StoryLine [137… …1.2.3 Information-Maximizing Data Delivery After the second level of information filtering… 

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

APA (6th Edition):

Wang, S. (2017). On information filtering in social sensing. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97351

Chicago Manual of Style (16th Edition):

Wang, Shiguang. “On information filtering in social sensing.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 20, 2020. http://hdl.handle.net/2142/97351.

MLA Handbook (7th Edition):

Wang, Shiguang. “On information filtering in social sensing.” 2017. Web. 20 Feb 2020.

Vancouver:

Wang S. On information filtering in social sensing. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/2142/97351.

Council of Science Editors:

Wang S. On information filtering in social sensing. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97351


Rochester Institute of Technology

27. Matus Nicodemos, Marcelo. Information-Based Neighborhood Modeling.

Degree: MS, Information Sciences and Technologies (GCCIS), 2017, Rochester Institute of Technology

  Since the inception of the World Wide Web, the amount of data present on websites and internet infrastructure has grown exponentially that researchers continuously… (more)

Subjects/Keywords: Collaborative filtering; Data; DIKW hierarchy; Information; k-Nearest neighbor; Recommender systems

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APA (6th Edition):

Matus Nicodemos, M. (2017). Information-Based Neighborhood Modeling. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9461

Chicago Manual of Style (16th Edition):

Matus Nicodemos, Marcelo. “Information-Based Neighborhood Modeling.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed February 20, 2020. https://scholarworks.rit.edu/theses/9461.

MLA Handbook (7th Edition):

Matus Nicodemos, Marcelo. “Information-Based Neighborhood Modeling.” 2017. Web. 20 Feb 2020.

Vancouver:

Matus Nicodemos M. Information-Based Neighborhood Modeling. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2020 Feb 20]. Available from: https://scholarworks.rit.edu/theses/9461.

Council of Science Editors:

Matus Nicodemos M. Information-Based Neighborhood Modeling. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9461


The Ohio State University

28. Sriram, Bharath. Short Text Classification in Twitter to Improve Information Filtering.

Degree: MS, Computer Science and Engineering, 2010, The Ohio State University

  In micro-blogging services such as Twitter, the users may get overwhelmed by the raw data. One solution to this problem is the classification of… (more)

Subjects/Keywords: Computer Science; Text Classification; Twitter; Short Text; Information filtering

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APA (6th Edition):

Sriram, B. (2010). Short Text Classification in Twitter to Improve Information Filtering. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1275406094

Chicago Manual of Style (16th Edition):

Sriram, Bharath. “Short Text Classification in Twitter to Improve Information Filtering.” 2010. Masters Thesis, The Ohio State University. Accessed February 20, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275406094.

MLA Handbook (7th Edition):

Sriram, Bharath. “Short Text Classification in Twitter to Improve Information Filtering.” 2010. Web. 20 Feb 2020.

Vancouver:

Sriram B. Short Text Classification in Twitter to Improve Information Filtering. [Internet] [Masters thesis]. The Ohio State University; 2010. [cited 2020 Feb 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1275406094.

Council of Science Editors:

Sriram B. Short Text Classification in Twitter to Improve Information Filtering. [Masters Thesis]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1275406094


University of Cincinnati

29. Strunjas, Svetlana. Algorithms and Models for Collaborative Filtering from Large Information Corpora.

Degree: PhD, Engineering : Computer Science, 2008, University of Cincinnati

  In this thesis we propose novel collaborative filtering approaches for large data sets. We also demonstrate how these collaborative approaches can be used for… (more)

Subjects/Keywords: Computer Science; collaborative filtering; collaborative partitioning; clustering; information retrieval

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

APA (6th Edition):

Strunjas, S. (2008). Algorithms and Models for Collaborative Filtering from Large Information Corpora. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1220001182

Chicago Manual of Style (16th Edition):

Strunjas, Svetlana. “Algorithms and Models for Collaborative Filtering from Large Information Corpora.” 2008. Doctoral Dissertation, University of Cincinnati. Accessed February 20, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1220001182.

MLA Handbook (7th Edition):

Strunjas, Svetlana. “Algorithms and Models for Collaborative Filtering from Large Information Corpora.” 2008. Web. 20 Feb 2020.

Vancouver:

Strunjas S. Algorithms and Models for Collaborative Filtering from Large Information Corpora. [Internet] [Doctoral dissertation]. University of Cincinnati; 2008. [cited 2020 Feb 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1220001182.

Council of Science Editors:

Strunjas S. Algorithms and Models for Collaborative Filtering from Large Information Corpora. [Doctoral Dissertation]. University of Cincinnati; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1220001182


NSYSU

30. Liang, Jhen-yi. Combining Content-base and Collaborative Filtering Methods for Music Recommendation.

Degree: Master, Information Management, 2014, NSYSU

 With the music signal processing and network development, people can listen to music not only CDs, radio but also mobile devices, even more, online streaming.… (more)

Subjects/Keywords: Music Information Retrieval; Matrix Decomposition; Recommendation System; Collaborative Filtering; Music Tags

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

APA (6th Edition):

Liang, J. (2014). Combining Content-base and Collaborative Filtering Methods for Music Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859

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

Chicago Manual of Style (16th Edition):

Liang, Jhen-yi. “Combining Content-base and Collaborative Filtering Methods for Music Recommendation.” 2014. Thesis, NSYSU. Accessed February 20, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859.

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

MLA Handbook (7th Edition):

Liang, Jhen-yi. “Combining Content-base and Collaborative Filtering Methods for Music Recommendation.” 2014. Web. 20 Feb 2020.

Vancouver:

Liang J. Combining Content-base and Collaborative Filtering Methods for Music Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Feb 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859.

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

Council of Science Editors:

Liang J. Combining Content-base and Collaborative Filtering Methods for Music Recommendation. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812113-095859

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

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