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You searched for subject:(Collaborative filtering). Showing records 1 – 30 of 200 total matches.

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University of Georgia

1. Fan, Xiaohu. A study of attacks on collaborative filter.

Degree: MS, Computer Science, 2011, University of Georgia

Collaborative filtering is a widely used technique to make classifications by using distributed feedback from all users. Recently, collaborative filtering has been proposed and used… (more)

Subjects/Keywords: Collaborative spam filtering

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APA (6th Edition):

Fan, X. (2011). A study of attacks on collaborative filter. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/fan_xiaohu_201105_ms

Chicago Manual of Style (16th Edition):

Fan, Xiaohu. “A study of attacks on collaborative filter.” 2011. Masters Thesis, University of Georgia. Accessed April 21, 2019. http://purl.galileo.usg.edu/uga_etd/fan_xiaohu_201105_ms.

MLA Handbook (7th Edition):

Fan, Xiaohu. “A study of attacks on collaborative filter.” 2011. Web. 21 Apr 2019.

Vancouver:

Fan X. A study of attacks on collaborative filter. [Internet] [Masters thesis]. University of Georgia; 2011. [cited 2019 Apr 21]. Available from: http://purl.galileo.usg.edu/uga_etd/fan_xiaohu_201105_ms.

Council of Science Editors:

Fan X. A study of attacks on collaborative filter. [Masters Thesis]. University of Georgia; 2011. Available from: http://purl.galileo.usg.edu/uga_etd/fan_xiaohu_201105_ms

2. Nakamoto, Reyn. Exploration of Website Recommendation Using Reasonable Tag-Based Collaborative Filtering : タグ情報に基づく協調フィルタリングを利用したWeb情報推薦に関する研究; タグ ジョウホウ ニ モトヅク キョウチョウ フィルタリング オ リヨウシタ Web ジョウホウ スイセン ニ カンスル ケンキュウ.

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

Subjects/Keywords: collaborative filtering

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APA (6th Edition):

Nakamoto, R. (n.d.). Exploration of Website Recommendation Using Reasonable Tag-Based Collaborative Filtering : タグ情報に基づく協調フィルタリングを利用したWeb情報推薦に関する研究; タグ ジョウホウ ニ モトヅク キョウチョウ フィルタリング オ リヨウシタ Web ジョウホウ スイセン ニ カンスル ケンキュウ. (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/10061/4596

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 (16th Edition):

Nakamoto, Reyn. “Exploration of Website Recommendation Using Reasonable Tag-Based Collaborative Filtering : タグ情報に基づく協調フィルタリングを利用したWeb情報推薦に関する研究; タグ ジョウホウ ニ モトヅク キョウチョウ フィルタリング オ リヨウシタ Web ジョウホウ スイセン ニ カンスル ケンキュウ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed April 21, 2019. http://hdl.handle.net/10061/4596.

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 (7th Edition):

Nakamoto, Reyn. “Exploration of Website Recommendation Using Reasonable Tag-Based Collaborative Filtering : タグ情報に基づく協調フィルタリングを利用したWeb情報推薦に関する研究; タグ ジョウホウ ニ モトヅク キョウチョウ フィルタリング オ リヨウシタ Web ジョウホウ スイセン ニ カンスル ケンキュウ.” Web. 21 Apr 2019.

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

Vancouver:

Nakamoto R. Exploration of Website Recommendation Using Reasonable Tag-Based Collaborative Filtering : タグ情報に基づく協調フィルタリングを利用したWeb情報推薦に関する研究; タグ ジョウホウ ニ モトヅク キョウチョウ フィルタリング オ リヨウシタ Web ジョウホウ スイセン ニ カンスル ケンキュウ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2019 Apr 21]. Available from: http://hdl.handle.net/10061/4596.

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:

Nakamoto R. Exploration of Website Recommendation Using Reasonable Tag-Based Collaborative Filtering : タグ情報に基づく協調フィルタリングを利用したWeb情報推薦に関する研究; タグ ジョウホウ ニ モトヅク キョウチョウ フィルタリング オ リヨウシタ Web ジョウホウ スイセン ニ カンスル ケンキュウ. [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/10061/4596

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


University of New South Wales

3. Zhou, Bowen. Advanced Collaborative Filtering and Image-based Recommender Systems.

Degree: Computer Science & Engineering, 2017, University of New South Wales

 Due to burst of growth of information available all over the world, it has been of great necessity to retrieve most suitable data from the… (more)

Subjects/Keywords: Collaborative Filtering; Recommender Systems

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

APA (6th Edition):

Zhou, B. (2017). Advanced Collaborative Filtering and Image-based Recommender Systems. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60049 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51367/SOURCE2?view=true

Chicago Manual of Style (16th Edition):

Zhou, Bowen. “Advanced Collaborative Filtering and Image-based Recommender Systems.” 2017. Masters Thesis, University of New South Wales. Accessed April 21, 2019. http://handle.unsw.edu.au/1959.4/60049 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51367/SOURCE2?view=true.

MLA Handbook (7th Edition):

Zhou, Bowen. “Advanced Collaborative Filtering and Image-based Recommender Systems.” 2017. Web. 21 Apr 2019.

Vancouver:

Zhou B. Advanced Collaborative Filtering and Image-based Recommender Systems. [Internet] [Masters thesis]. University of New South Wales; 2017. [cited 2019 Apr 21]. Available from: http://handle.unsw.edu.au/1959.4/60049 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51367/SOURCE2?view=true.

Council of Science Editors:

Zhou B. Advanced Collaborative Filtering and Image-based Recommender Systems. [Masters Thesis]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/60049 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51367/SOURCE2?view=true


Penn State University

4. Yao, Luqi. Study On Bipartite Network In Collaborative Filtering Recommender System.

Degree: MS, Industrial Engineering, 2015, Penn State University

 Recommender system is increasingly popular in recent years, scientists came up with plenty of recommendation algorithms and never stop trying to make the recommendation more… (more)

Subjects/Keywords: recommender system; bipartite network; collaborative filtering

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APA (6th Edition):

Yao, L. (2015). Study On Bipartite Network In Collaborative Filtering Recommender System. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/26335

Chicago Manual of Style (16th Edition):

Yao, Luqi. “Study On Bipartite Network In Collaborative Filtering Recommender System.” 2015. Masters Thesis, Penn State University. Accessed April 21, 2019. https://etda.libraries.psu.edu/catalog/26335.

MLA Handbook (7th Edition):

Yao, Luqi. “Study On Bipartite Network In Collaborative Filtering Recommender System.” 2015. Web. 21 Apr 2019.

Vancouver:

Yao L. Study On Bipartite Network In Collaborative Filtering Recommender System. [Internet] [Masters thesis]. Penn State University; 2015. [cited 2019 Apr 21]. Available from: https://etda.libraries.psu.edu/catalog/26335.

Council of Science Editors:

Yao L. Study On Bipartite Network In Collaborative Filtering Recommender System. [Masters Thesis]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/26335


University of Texas – Austin

5. Edwards, James Adrian. Quantifying the multi-user account problem for collaborative filtering based recommender systems.

Degree: Electrical and Computer Engineering, 2009, University of Texas – Austin

 Identification based recommender systems make no distinction between users and accounts; all the data collected during account sessions are attributed to a single user. In… (more)

Subjects/Keywords: Recommender systems; Collaborative filtering; Multi-user accounts

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

APA (6th Edition):

Edwards, J. A. (2009). Quantifying the multi-user account problem for collaborative filtering based recommender systems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2009-12-460

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):

Edwards, James Adrian. “Quantifying the multi-user account problem for collaborative filtering based recommender systems.” 2009. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/ETD-UT-2009-12-460.

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

MLA Handbook (7th Edition):

Edwards, James Adrian. “Quantifying the multi-user account problem for collaborative filtering based recommender systems.” 2009. Web. 21 Apr 2019.

Vancouver:

Edwards JA. Quantifying the multi-user account problem for collaborative filtering based recommender systems. [Internet] [Thesis]. University of Texas – Austin; 2009. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/ETD-UT-2009-12-460.

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

Council of Science Editors:

Edwards JA. Quantifying the multi-user account problem for collaborative filtering based recommender systems. [Thesis]. University of Texas – Austin; 2009. Available from: http://hdl.handle.net/2152/ETD-UT-2009-12-460

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


University of Minnesota

6. Kluver, Daniel. Improvements in Holistic Recommender System Research.

Degree: PhD, Computer Science, 2018, University of Minnesota

 Since the mid 1990s, recommender systems have grown to be a major area of deployment in industry, and research in academia. A through-line in this… (more)

Subjects/Keywords: Collaborative Filtering; Libraries; New User; Recommender Systems

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APA (6th Edition):

Kluver, D. (2018). Improvements in Holistic Recommender System Research. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201165

Chicago Manual of Style (16th Edition):

Kluver, Daniel. “Improvements in Holistic Recommender System Research.” 2018. Doctoral Dissertation, University of Minnesota. Accessed April 21, 2019. http://hdl.handle.net/11299/201165.

MLA Handbook (7th Edition):

Kluver, Daniel. “Improvements in Holistic Recommender System Research.” 2018. Web. 21 Apr 2019.

Vancouver:

Kluver D. Improvements in Holistic Recommender System Research. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/11299/201165.

Council of Science Editors:

Kluver D. Improvements in Holistic Recommender System Research. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201165


University of Manitoba

7. Hashish, Yasmeen. "Kid-in-the-loop" content control: A collaborative and education-oriented content filtering approach.

Degree: Computer Science, 2014, University of Manitoba

 Given the proliferation of new-generation internet capable devices in our society, they are now commonly used for a variety of purposes and by a variety… (more)

Subjects/Keywords: Human-computer interaction; content filtering; parent-child collaboration; collaborative filtering

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

APA (6th Edition):

Hashish, Y. (2014). "Kid-in-the-loop" content control: A collaborative and education-oriented content filtering approach. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/23556

Chicago Manual of Style (16th Edition):

Hashish, Yasmeen. “"Kid-in-the-loop" content control: A collaborative and education-oriented content filtering approach.” 2014. Masters Thesis, University of Manitoba. Accessed April 21, 2019. http://hdl.handle.net/1993/23556.

MLA Handbook (7th Edition):

Hashish, Yasmeen. “"Kid-in-the-loop" content control: A collaborative and education-oriented content filtering approach.” 2014. Web. 21 Apr 2019.

Vancouver:

Hashish Y. "Kid-in-the-loop" content control: A collaborative and education-oriented content filtering approach. [Internet] [Masters thesis]. University of Manitoba; 2014. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/1993/23556.

Council of Science Editors:

Hashish Y. "Kid-in-the-loop" content control: A collaborative and education-oriented content filtering approach. [Masters Thesis]. University of Manitoba; 2014. Available from: http://hdl.handle.net/1993/23556


George Mason University

8. 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 (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 April 21, 2019. 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. 21 Apr 2019.

Vancouver:

Jeong H. Hybrid filtering in Semantic Query Processing . [Internet] [Thesis]. George Mason University; 2011. [cited 2019 Apr 21]. 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


University of Cincinnati

9. 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 (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 April 21, 2019. 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. 21 Apr 2019.

Vancouver:

Strunjas S. Algorithms and Models for Collaborative Filtering from Large Information Corpora. [Internet] [Doctoral dissertation]. University of Cincinnati; 2008. [cited 2019 Apr 21]. 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


KTH

10. Andersson, Morgan. Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

The amount of video content online will nearly triple in quantity by 2021 compared to 2016. The implementation of sophisticated filters is of paramount… (more)

Subjects/Keywords: Information Filtering; Recommender Systems; News Videos; Content-Based Filtering; Collaborative Filtering; Hybrid Filtering; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Andersson, M. (2018). Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234137

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):

Andersson, Morgan. “Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data.” 2018. Thesis, KTH. Accessed April 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234137.

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

MLA Handbook (7th Edition):

Andersson, Morgan. “Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data.” 2018. Web. 21 Apr 2019.

Vancouver:

Andersson M. Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data. [Internet] [Thesis]. KTH; 2018. [cited 2019 Apr 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234137.

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

Council of Science Editors:

Andersson M. Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234137

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

11. Bergqvist, Martin. Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie.

Degree: Education and IT, 2018, University of Borås

Rekommendationssystem används överallt. På populära plattformar såsom Netflix och Amazon får du alltid rekommendationer på vad som är nästa lämpliga film eller inköp, baserat… (more)

Subjects/Keywords: Collaborative filtering; Content-based filtering; Recommender systems; Steam; Computer Science; Machine learning; Information retrieval; Collaborative filtering; Content-based filtering; Rekommendationssystem; Steam; Datorvetenskap; Maskininlärning; Informationssökning; Information Systems; Systemvetenskap, informationssystem och informatik

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

APA (6th Edition):

Bergqvist, M. (2018). Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie. (Thesis). University of Borås. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14129

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):

Bergqvist, Martin. “Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie.” 2018. Thesis, University of Borås. Accessed April 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14129.

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

MLA Handbook (7th Edition):

Bergqvist, Martin. “Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie.” 2018. Web. 21 Apr 2019.

Vancouver:

Bergqvist M. Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie. [Internet] [Thesis]. University of Borås; 2018. [cited 2019 Apr 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14129.

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

Council of Science Editors:

Bergqvist M. Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie. [Thesis]. University of Borås; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-14129

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


AUT University

12. Bookwala, Avinash Turab. Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users .

Degree: 2010, AUT University

 In this thesis, we present an innovative and novel approach to personalise maps/geo-spatial services for mobile users. With the proposed map personalisation approach, only relevant… (more)

Subjects/Keywords: Mobile devices; Map personalisation; Association rule mining; Collaborative filtering; Content based filtering; User profiles

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APA (6th Edition):

Bookwala, A. T. (2010). Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/920

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):

Bookwala, Avinash Turab. “Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users .” 2010. Thesis, AUT University. Accessed April 21, 2019. http://hdl.handle.net/10292/920.

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

MLA Handbook (7th Edition):

Bookwala, Avinash Turab. “Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users .” 2010. Web. 21 Apr 2019.

Vancouver:

Bookwala AT. Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users . [Internet] [Thesis]. AUT University; 2010. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/10292/920.

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

Council of Science Editors:

Bookwala AT. Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users . [Thesis]. AUT University; 2010. Available from: http://hdl.handle.net/10292/920

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


NSYSU

13. Wu, Chuan-Yi. LDA-based Group Recommendation on Documents.

Degree: Master, Information Management, 2013, NSYSU

 With the emergence of Internet, there is more and more information disseminating all over this channel. The abundant amount of information, however, causes difficulty for… (more)

Subjects/Keywords: collaborative filtering; group recommendation; content-based filtering; recommender systems; latent Dirichlet allocation; hidden topic analysis

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

APA (6th Edition):

Wu, C. (2013). LDA-based Group Recommendation on Documents. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016

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):

Wu, Chuan-Yi. “LDA-based Group Recommendation on Documents.” 2013. Thesis, NSYSU. Accessed April 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016.

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

MLA Handbook (7th Edition):

Wu, Chuan-Yi. “LDA-based Group Recommendation on Documents.” 2013. Web. 21 Apr 2019.

Vancouver:

Wu C. LDA-based Group Recommendation on Documents. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Apr 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016.

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

Council of Science Editors:

Wu C. LDA-based Group Recommendation on Documents. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016

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


NSYSU

14. Chen, Li-Zen. Personalized Document Recommendation by Latent Dirichlet Allocation.

Degree: Master, Information Management, 2012, NSYSU

 Accompanying with the rapid growth of Internet, people around the world can easily distribute, browse, and share as much information as possible through the Internet.… (more)

Subjects/Keywords: recommender systems; collaborative filtering; hidden topic analysis; latent Dirichlet allocation; content-based filtering

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

APA (6th Edition):

Chen, L. (2012). Personalized Document Recommendation by Latent Dirichlet Allocation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905

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):

Chen, Li-Zen. “Personalized Document Recommendation by Latent Dirichlet Allocation.” 2012. Thesis, NSYSU. Accessed April 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905.

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

MLA Handbook (7th Edition):

Chen, Li-Zen. “Personalized Document Recommendation by Latent Dirichlet Allocation.” 2012. Web. 21 Apr 2019.

Vancouver:

Chen L. Personalized Document Recommendation by Latent Dirichlet Allocation. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 Apr 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905.

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

Council of Science Editors:

Chen L. Personalized Document Recommendation by Latent Dirichlet Allocation. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905

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


Kansas State University

15. Karanam, Manikanta Babu. Tackling the problems of diversity in recommender systems.

Degree: MS, Department of Computing and Information Sciences, 2010, Kansas State University

 A recommender system is a computational mechanism for information filtering, where users provide recommendations (in the form of ratings or selecting items) as inputs, which… (more)

Subjects/Keywords: Recommender Systems; Diversity; Collaborative Filtering; Content Based Filtering; Hybrid Systems; Computer Science (0984)

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

APA (6th Edition):

Karanam, M. B. (2010). Tackling the problems of diversity in recommender systems. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/6981

Chicago Manual of Style (16th Edition):

Karanam, Manikanta Babu. “Tackling the problems of diversity in recommender systems.” 2010. Masters Thesis, Kansas State University. Accessed April 21, 2019. http://hdl.handle.net/2097/6981.

MLA Handbook (7th Edition):

Karanam, Manikanta Babu. “Tackling the problems of diversity in recommender systems.” 2010. Web. 21 Apr 2019.

Vancouver:

Karanam MB. Tackling the problems of diversity in recommender systems. [Internet] [Masters thesis]. Kansas State University; 2010. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2097/6981.

Council of Science Editors:

Karanam MB. Tackling the problems of diversity in recommender systems. [Masters Thesis]. Kansas State University; 2010. Available from: http://hdl.handle.net/2097/6981


RMIT University

16. Badsha, S. Privacy preserving recommender systems.

Degree: 2018, RMIT University

 The recommender systems help users find suitable and interesting products and contents from the huge amount of information that are available in the internet. There… (more)

Subjects/Keywords: Fields of Research; Cryptography; Recommender systems; Collaborative filtering; Encryption; Content based filtering; Ratings; Users

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

APA (6th Edition):

Badsha, S. (2018). Privacy preserving recommender systems. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162593

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):

Badsha, S. “Privacy preserving recommender systems.” 2018. Thesis, RMIT University. Accessed April 21, 2019. http://researchbank.rmit.edu.au/view/rmit:162593.

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

MLA Handbook (7th Edition):

Badsha, S. “Privacy preserving recommender systems.” 2018. Web. 21 Apr 2019.

Vancouver:

Badsha S. Privacy preserving recommender systems. [Internet] [Thesis]. RMIT University; 2018. [cited 2019 Apr 21]. Available from: http://researchbank.rmit.edu.au/view/rmit:162593.

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

Council of Science Editors:

Badsha S. Privacy preserving recommender systems. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162593

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

17. Johansson, Kristoffer. Automatiska rekommendationer i butik.

Degree: Education and IT, 2015, University of Borås

Detaljhandeln i fysiska butiker är utsatt av konkurrens från en betydligt mer innovationsrik e-handel och har därför ett behov av att vidareutvecklas. Ett sätt… (more)

Subjects/Keywords: collaborative filtering; retail; recommender systems; recommendations; collaborative filtering; butik; rekommendationssystem; rekommendationer; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Johansson, K. (2015). Automatiska rekommendationer i butik. (Thesis). University of Borås. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-1031

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):

Johansson, Kristoffer. “Automatiska rekommendationer i butik.” 2015. Thesis, University of Borås. Accessed April 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-1031.

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

MLA Handbook (7th Edition):

Johansson, Kristoffer. “Automatiska rekommendationer i butik.” 2015. Web. 21 Apr 2019.

Vancouver:

Johansson K. Automatiska rekommendationer i butik. [Internet] [Thesis]. University of Borås; 2015. [cited 2019 Apr 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-1031.

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

Council of Science Editors:

Johansson K. Automatiska rekommendationer i butik. [Thesis]. University of Borås; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-1031

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

18. Phillips, Taylor. Using Transitivity with Nearest Neighbor to Reduce Error in Sample-Based Pearson Correlation Coefficients.

Degree: MS, Computer Science, 2010, U of Denver

  Pearson product-moment correlation coefficients are a well- practiced quantification of linear dependence seen across many fields. When calculating a sample-based correlation coefficient, the accuracy… (more)

Subjects/Keywords: Collaborative Filtering; Correlation Coefficient; Nearest Neighbor; Pearson; Reduce Error

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

APA (6th Edition):

Phillips, T. (2010). Using Transitivity with Nearest Neighbor to Reduce Error in Sample-Based Pearson Correlation Coefficients. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/515

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):

Phillips, Taylor. “Using Transitivity with Nearest Neighbor to Reduce Error in Sample-Based Pearson Correlation Coefficients.” 2010. Thesis, U of Denver. Accessed April 21, 2019. https://digitalcommons.du.edu/etd/515.

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

MLA Handbook (7th Edition):

Phillips, Taylor. “Using Transitivity with Nearest Neighbor to Reduce Error in Sample-Based Pearson Correlation Coefficients.” 2010. Web. 21 Apr 2019.

Vancouver:

Phillips T. Using Transitivity with Nearest Neighbor to Reduce Error in Sample-Based Pearson Correlation Coefficients. [Internet] [Thesis]. U of Denver; 2010. [cited 2019 Apr 21]. Available from: https://digitalcommons.du.edu/etd/515.

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

Council of Science Editors:

Phillips T. Using Transitivity with Nearest Neighbor to Reduce Error in Sample-Based Pearson Correlation Coefficients. [Thesis]. U of Denver; 2010. Available from: https://digitalcommons.du.edu/etd/515

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


Anna University

19. Kavitha Devi M K. Development of artificial intelligence based collaborative filtering recommender systems for web applications;.

Degree: 2013, Anna University

Electronic commerce means buying and selling of items or services over electronic systems, such as the Internet and other computer networks. It allows businesses to… (more)

Subjects/Keywords: Artificial intelligence; ASP.NET; Collaborative Filtering; Radial Basis Function Network

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

APA (6th Edition):

K, K. D. M. (2013). Development of artificial intelligence based collaborative filtering recommender systems for web applications;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13413

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):

K, Kavitha Devi M. “Development of artificial intelligence based collaborative filtering recommender systems for web applications;.” 2013. Thesis, Anna University. Accessed April 21, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/13413.

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

MLA Handbook (7th Edition):

K, Kavitha Devi M. “Development of artificial intelligence based collaborative filtering recommender systems for web applications;.” 2013. Web. 21 Apr 2019.

Vancouver:

K KDM. Development of artificial intelligence based collaborative filtering recommender systems for web applications;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Apr 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13413.

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

Council of Science Editors:

K KDM. Development of artificial intelligence based collaborative filtering recommender systems for web applications;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13413

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


Uppsala University

20. Elvander, Adam. Developing a Recommender System for a Mobile E-commerce Application.

Degree: Division of Computing Science, 2015, Uppsala University

  This thesis describes the process of conceptualizing and developing a recommendersystem for a peer-to-peer commerce application. The application in question is calledPlick and is… (more)

Subjects/Keywords: Recommender Systems; Collaborative Filtering; E-marketplace; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Elvander, A. (2015). Developing a Recommender System for a Mobile E-commerce Application. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256747

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):

Elvander, Adam. “Developing a Recommender System for a Mobile E-commerce Application.” 2015. Thesis, Uppsala University. Accessed April 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256747.

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

MLA Handbook (7th Edition):

Elvander, Adam. “Developing a Recommender System for a Mobile E-commerce Application.” 2015. Web. 21 Apr 2019.

Vancouver:

Elvander A. Developing a Recommender System for a Mobile E-commerce Application. [Internet] [Thesis]. Uppsala University; 2015. [cited 2019 Apr 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256747.

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

Council of Science Editors:

Elvander A. Developing a Recommender System for a Mobile E-commerce Application. [Thesis]. Uppsala University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256747

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


University of Cincinnati

21. NARAYANASWAMY, SHRIRAM. A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS.

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

 In today’s consumer driven world, people are faced with the problem of plenty. Choices abound everywhere, be it in movies, books or music. Recommender systems… (more)

Subjects/Keywords: Computer Science; collaborative filtering, recommender systems; lattice, concept, algorithm, Jester, Movielens

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

APA (6th Edition):

NARAYANASWAMY, S. (2007). A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016

Chicago Manual of Style (16th Edition):

NARAYANASWAMY, SHRIRAM. “A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS.” 2007. Masters Thesis, University of Cincinnati. Accessed April 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016.

MLA Handbook (7th Edition):

NARAYANASWAMY, SHRIRAM. “A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS.” 2007. Web. 21 Apr 2019.

Vancouver:

NARAYANASWAMY S. A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS. [Internet] [Masters thesis]. University of Cincinnati; 2007. [cited 2019 Apr 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016.

Council of Science Editors:

NARAYANASWAMY S. A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS. [Masters Thesis]. University of Cincinnati; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016


NSYSU

22. Lu, Chia-Ju. Item-level Trust-based Collaborative Filtering Approach to Recommender Systems.

Degree: Master, Information Management, 2008, NSYSU

 With the rapid growth of Internet, more and more information is disseminated in the World Wide Web. It is therefore not an easy task to… (more)

Subjects/Keywords: recommender systems; collaborative filtering; sparsity; item-based CF; trust-based CF

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

APA (6th Edition):

Lu, C. (2008). Item-level Trust-based Collaborative Filtering Approach to Recommender Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-124134

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, Chia-Ju. “Item-level Trust-based Collaborative Filtering Approach to Recommender Systems.” 2008. Thesis, NSYSU. Accessed April 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-124134.

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

MLA Handbook (7th Edition):

Lu, Chia-Ju. “Item-level Trust-based Collaborative Filtering Approach to Recommender Systems.” 2008. Web. 21 Apr 2019.

Vancouver:

Lu C. Item-level Trust-based Collaborative Filtering Approach to Recommender Systems. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 Apr 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-124134.

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

Council of Science Editors:

Lu C. Item-level Trust-based Collaborative Filtering Approach to Recommender Systems. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723108-124134

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


NSYSU

23. Weng, Ling-chao. On Recommending Tourist Attractions in a Mobile P2P Environment.

Degree: Master, Information Management, 2009, NSYSU

 ããRecommendation techniques are developed to uncover usersâ real needs among large volume of information. Recommender systems help us filter information and present those similar to… (more)

Subjects/Keywords: Collaborative filtering; Travel recommender system; Mobile P2P environment; Data exchange method

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

APA (6th Edition):

Weng, L. (2009). On Recommending Tourist Attractions in a Mobile P2P Environment. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0811109-023332

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):

Weng, Ling-chao. “On Recommending Tourist Attractions in a Mobile P2P Environment.” 2009. Thesis, NSYSU. Accessed April 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0811109-023332.

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

MLA Handbook (7th Edition):

Weng, Ling-chao. “On Recommending Tourist Attractions in a Mobile P2P Environment.” 2009. Web. 21 Apr 2019.

Vancouver:

Weng L. On Recommending Tourist Attractions in a Mobile P2P Environment. [Internet] [Thesis]. NSYSU; 2009. [cited 2019 Apr 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0811109-023332.

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

Council of Science Editors:

Weng L. On Recommending Tourist Attractions in a Mobile P2P Environment. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0811109-023332

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


NSYSU

24. Chen, Guan-Ru. Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment.

Degree: Master, Information Management, 2010, NSYSU

 Despite recommender systems being useful, for some applications it is hard to accumulate all the required information needed for the recommendation. In today‟s ubiquitous environment,… (more)

Subjects/Keywords: Data exchange method; Mobile P2P environment; Travel recommender system; Collaborative filtering

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

APA (6th Edition):

Chen, G. (2010). Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-005949

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):

Chen, Guan-Ru. “Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment.” 2010. Thesis, NSYSU. Accessed April 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-005949.

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

MLA Handbook (7th Edition):

Chen, Guan-Ru. “Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment.” 2010. Web. 21 Apr 2019.

Vancouver:

Chen G. Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment. [Internet] [Thesis]. NSYSU; 2010. [cited 2019 Apr 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-005949.

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

Council of Science Editors:

Chen G. Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-005949

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


NSYSU

25. Tseng, Shih-hui. A Model-based Collaborative Filtering Approach to Handling Data Reliability and Ordinal Data Scale.

Degree: Master, Information Management, 2010, NSYSU

 Accompanying with the Internet growth explosion, more and more information disseminates on the Web. The large amount of information, however, causes the information overload problem… (more)

Subjects/Keywords: data reliability; recommender system; model-based CF; data scale; collaborative filtering

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

APA (6th Edition):

Tseng, S. (2010). A Model-based Collaborative Filtering Approach to Handling Data Reliability and Ordinal Data Scale. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-223701

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):

Tseng, Shih-hui. “A Model-based Collaborative Filtering Approach to Handling Data Reliability and Ordinal Data Scale.” 2010. Thesis, NSYSU. Accessed April 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-223701.

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

MLA Handbook (7th Edition):

Tseng, Shih-hui. “A Model-based Collaborative Filtering Approach to Handling Data Reliability and Ordinal Data Scale.” 2010. Web. 21 Apr 2019.

Vancouver:

Tseng S. A Model-based Collaborative Filtering Approach to Handling Data Reliability and Ordinal Data Scale. [Internet] [Thesis]. NSYSU; 2010. [cited 2019 Apr 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-223701.

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

Council of Science Editors:

Tseng S. A Model-based Collaborative Filtering Approach to Handling Data Reliability and Ordinal Data Scale. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-223701

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


NSYSU

26. Tseng, Kuan-Yu. Context-aware Collaborative Filtering Methods for Multimedia Recommendation.

Degree: Master, Information Management, 2014, NSYSU

 The rapid development of mobile device and multimedia allows us today to have extremely rich multimedia information sources. The numbers of data also increase rapidly… (more)

Subjects/Keywords: Mobile Device; Collaborative Filtering; Matrix Factorization; Context-Awareness; Recommender System

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

APA (6th Edition):

Tseng, K. (2014). Context-aware Collaborative Filtering Methods for Multimedia Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019

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):

Tseng, Kuan-Yu. “Context-aware Collaborative Filtering Methods for Multimedia Recommendation.” 2014. Thesis, NSYSU. Accessed April 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019.

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

MLA Handbook (7th Edition):

Tseng, Kuan-Yu. “Context-aware Collaborative Filtering Methods for Multimedia Recommendation.” 2014. Web. 21 Apr 2019.

Vancouver:

Tseng K. Context-aware Collaborative Filtering Methods for Multimedia Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Apr 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019.

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

Council of Science Editors:

Tseng K. Context-aware Collaborative Filtering Methods for Multimedia Recommendation. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-122019

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


NSYSU

27. 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 April 21, 2019. 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. 21 Apr 2019.

Vancouver:

Liang J. Combining Content-base and Collaborative Filtering Methods for Music Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Apr 21]. 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


NSYSU

28. Yang, Tsung-Lin. Combining Trust Relationships and Super Users for Collaborative Recommendation.

Degree: Master, Information Management, 2017, NSYSU

 The network and mobile communication develop very quickly in recent years. We could get the data easily online. However, the speed of data transformation is… (more)

Subjects/Keywords: Collaborative Filtering; Recommendation System; Cold Start; Matrix Factorization; Trust

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

APA (6th Edition):

Yang, T. (2017). Combining Trust Relationships and Super Users for Collaborative Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742

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):

Yang, Tsung-Lin. “Combining Trust Relationships and Super Users for Collaborative Recommendation.” 2017. Thesis, NSYSU. Accessed April 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742.

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

MLA Handbook (7th Edition):

Yang, Tsung-Lin. “Combining Trust Relationships and Super Users for Collaborative Recommendation.” 2017. Web. 21 Apr 2019.

Vancouver:

Yang T. Combining Trust Relationships and Super Users for Collaborative Recommendation. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Apr 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742.

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

Council of Science Editors:

Yang T. Combining Trust Relationships and Super Users for Collaborative Recommendation. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-153742

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


NSYSU

29. Wang, Shih-hao. Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set.

Degree: Master, Information Management, 2017, NSYSU

 There are two types of methods often used to develop collaborative recommender systems. One is based on the similarity calculation and the other is based… (more)

Subjects/Keywords: Context Aware; Matrix Factorization; Cloud Computing; Recommended System; Collaborative Filtering

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

APA (6th Edition):

Wang, S. (2017). Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746

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):

Wang, Shih-hao. “Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set.” 2017. Thesis, NSYSU. Accessed April 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746.

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

MLA Handbook (7th Edition):

Wang, Shih-hao. “Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set.” 2017. Web. 21 Apr 2019.

Vancouver:

Wang S. Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Apr 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746.

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

Council of Science Editors:

Wang S. Using Cloud Computing to Improve the Efficiency and Effectiveness of Matrix Factorization : A Case Study of Context-aware Data Set. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0221117-203746

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


Missouri University of Science and Technology

30. Deokule, Shreyas S. A conceptual framework of using collaborative filtering algorithms to enhance keyword search.

Degree: M.S. in Information Science and Technology, Information Science and Technology, Missouri University of Science and Technology

"The main purpose of this research is to design a recommendation system, based on collaborative filtering, to aid users in searching research documents online. The recommendation system suggest appropriate keywords to the users which return better search results" – Abstract, leaf iii.

Subjects/Keywords: Collaborative filtering algorithms; Computer Sciences

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

APA (6th Edition):

Deokule, S. S. (n.d.). A conceptual framework of using collaborative filtering algorithms to enhance keyword search. (Masters Thesis). Missouri University of Science and Technology. Retrieved from http://scholarsmine.mst.edu/masters_theses/4437

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

Chicago Manual of Style (16th Edition):

Deokule, Shreyas S. “A conceptual framework of using collaborative filtering algorithms to enhance keyword search.” Masters Thesis, Missouri University of Science and Technology. Accessed April 21, 2019. http://scholarsmine.mst.edu/masters_theses/4437.

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

MLA Handbook (7th Edition):

Deokule, Shreyas S. “A conceptual framework of using collaborative filtering algorithms to enhance keyword search.” Web. 21 Apr 2019.

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

Vancouver:

Deokule SS. A conceptual framework of using collaborative filtering algorithms to enhance keyword search. [Internet] [Masters thesis]. Missouri University of Science and Technology; [cited 2019 Apr 21]. Available from: http://scholarsmine.mst.edu/masters_theses/4437.

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

Council of Science Editors:

Deokule SS. A conceptual framework of using collaborative filtering algorithms to enhance keyword search. [Masters Thesis]. Missouri University of Science and Technology; Available from: http://scholarsmine.mst.edu/masters_theses/4437

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

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