Recommender systems

Results: 381



#Item
221Information retrieval / Collaborative filtering / Evaluation / Science / Human behavior / GroupLens Research / Recommender systems / Information science / Collective intelligence

Non-transparent recommender system evaluation leads to misleading results Alan Said1 , Alejandro Bellogín2 Future, Gothenburg, Sweden, [removed] 2 Universidad Autónoma de Madrid, Madrid, Spain, alejandro.bellogi

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Source URL: tinytocs.org

Language: English - Date: 2015-03-07 12:34:01
222News aggregator / The Economist / Newspaper / Recommender system / Publishing / News media / Journalism

No news, bad news! A Personalized News Recommendation System Master/Semester project Keywords: news, recommender systems, machine learning, data mining Supervisors: Florent Garcin, {firstname.lastname}@epfl.ch

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Source URL: lia.epfl.ch

Language: English - Date: 2014-05-16 05:07:07
223Information systems / Recommender systems / Information retrieval / Science / Information / Cold start / Collaborative filtering / Crowdsourcing / Information filtering system / Information science / Collective intelligence / Social information processing

Bootstrapping Recommender Systems with the Crowdsourcing Semester project Keywords: Recommender Systems, Cold Start, Crowdsourcing Supervisor: Goran Radanovic, {[removed]}

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Source URL: lia.epfl.ch

Language: English - Date: 2013-11-15 05:33:35
224Human–computer interaction / Collective intelligence / Social information processing / Collaborative filtering / Personalization / User modeling / User model / MagiC / GroupLens Research / Information science / Information retrieval / Recommender systems

The Not-so-Magic Magic Barrier of Recommender Systems Alejandro Bellogín1 , Alan Said2 Autónoma de Madrid, Madrid, Spain, [removed] 2 Recorded Future, Gothenburg, Sweden, [removed]

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Source URL: tinytocs.org

Language: English - Date: 2015-03-07 12:34:01
225Social information processing / Recommender systems / Human–computer interaction / Collaboration / Collaborative filtering / Cold start / GroupLens Research / Reputation system / Personalization / Information science / Information retrieval / Collective intelligence

This is the author’s version of a work that was submitted/accepted for publication in the following source: Abdel-Hafez, Ahmad, Tang, Xiaoyu, Tian, Nan, & Xu, Yue[removed]A reputation-enhanced recommender system. In Adv

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Source URL: eprints.qut.edu.au

Language: English - Date: 2015-02-06 13:21:55
226Information retrieval / Recommender systems / Marketing / Collaboration / Electronic commerce / GroupLens Research / Collaborative filtering / Personalization / Online shopping / Information science / Social information processing / Human–computer interaction

T ECHNO LOGY N E W S A Technology that Comes Highly Recommended Neal Leavitt

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Source URL: www.leavcom.com

Language: English - Date: 2013-04-12 14:46:20
227Recommender systems / Belief / Credibility / Popular culture / Collaborative filtering / Belief propagation / Internet Relay Chat / Cluster analysis / Statistics / Information science / Critical thinking

A Subjective Credibility Model for Participatory Media Aaditeshwar Seth Jie Zhang Robin Cohen

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Source URL: www.cse.iitd.ernet.in

Language: English - Date: 2008-05-06 23:34:16
228Social information processing / Recommender systems / Human–computer interaction / Collaboration / Collaborative filtering / GroupLens Research / Cold start / Reputation system / Personalization / Information science / Information retrieval / Collective intelligence

This is the author’s version of a work that was submitted/accepted for publication in the following source: Abdel-Hafez, Ahmad, Xu, Yue, & Tian, Nan[removed]Item reputation-aware recommender systems. In IIWAS ’14 : Pr

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Source URL: eprints.qut.edu.au

Language: English - Date: 2015-03-19 19:32:48
229Real-time web / Social media / Text messaging / Websites / Computing / Internet privacy / Borda count / Recommender system / Internet Movie Database / World Wide Web / Twitter / Technology

This is the author’s version of a work that was submitted/accepted for publication in the following source: Abdel-Hafez, Ahmad, Quoc, Viet Phung, & Xu, Yue[removed]Utilizing voting systems for ranking user tweets. In Pr

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Source URL: eprints.qut.edu.au

Language: English - Date: 2014-12-05 11:03:41
230Review websites / Recommender system / Review

Online Selection of Mediated and Domain-Specific Predictions for Improved Recommender Systems Stephanie Rosenthal, Manuela Veloso, Anind Dey School of Computer Science Carnegie Mellon University {srosenth,veloso,anind}@c

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Source URL: webscope.sandbox.yahoo.com

Language: English - Date: 2014-11-13 19:03:20
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