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GroupLens Research
Results: 175

#	Item
51	Analyzing Weighting Schemes in Collaborative Filtering: Cold Start, Post Cold Start and Power Users Alan Said Brijnesh J. Jain Add to Reading List Source URL: www.dai-labor.de Language: English - Date: 2012-06-06 10:21:09 Science Human–computer interaction Information systems Collaboration Recommender system Collaborative filtering GroupLens Research Cold start Similarity Information science Information retrieval Collective intelligence
52	Mining Navigation History for Recommendation Xiaobin Fu, Jay Budzik, Kristian J. Hammond Infolab, Northwestern University 1890 Maple Avenue Evanston, IL-1265 Add to Reading List Source URL: infolab.northwestern.edu Language: English - Date: 2011-04-14 17:04:30 Information Science Collective intelligence Recommender system Association rule learning Collaborative filtering GroupLens Research Personalization Internet privacy Information science Human–computer interaction Information retrieval
53	Avoiding the South Side and the Suburbs: The Geography of Mobile Crowdsourcing Markets Jacob Thebault-Spieker GroupLens Research University of Minnesota Add to Reading List Source URL: jacob.thebault-spieker.com Language: English - Date: 2015-03-03 14:19:30 World Wide Web Business Social psychology Computing Citizen science Amazon Mechanical Turk Information society Long Tail Socioeconomic status Social information processing Crowdsourcing Human-based computation
54	The Role of Transparency in Recommender Systems Rashmi Sinha & Kirsten Swearingen School of Information Management & Systems, UC Berkeley Berkeley, CAUSA {sinha, kirstens}@sims.berkeley.edu ABSTRACT Add to Reading List Source URL: bailando.sims.berkeley.edu Language: English - Date: 2002-04-04 13:54:59 Collective intelligence Social information processing Information retrieval Collaborative filtering Science Human behavior Transparency Usability GroupLens Research Human–computer interaction Recommender systems Information science
55	Appeared in Proceedings of the 25’th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002), ppTampere, Finland. August, 2002. Methods and Metrics for Col Add to Reading List Source URL: www.andrewschein.com Language: English - Date: 2011-08-13 15:18:55 Collective intelligence Information systems Statistical classification Collaboration Recommender systems Collaborative filtering GroupLens Research Cold start Information filtering system Statistics Algebra Information science
56	InterestMap: Harvesting Social Network Profiles for Recommendations Add to Reading List Source URL: larifari.org Language: English - Date: 2014-02-14 14:48:52 Information retrieval Human–computer interaction Knowledge representation Collective intelligence Social information processing Recommender system Collaborative filtering GroupLens Research Semantic similarity Information science Science Information
57	Misalignment Between Supply and Demand of Quality Content in Peer Production Communities Morten Warncke-Wang, Vivek Ranjan, Loren Terveen, and Brent Hecht GroupLens Research, University of Minnesota Minneapolis, MN 55455 Add to Reading List Source URL: www-users.cs.umn.edu Language: English - Date: 2015-03-28 22:00:48 Human–computer interaction Open content Collaborative projects Web 2.0 Social information processing Wikipedia Encyclopedia Encyclopædia Britannica Peer-to-peer Online encyclopedias Reference World Wide Web
58	Personalized News Recommendation with Context Trees Florent Garcin Christos Dimitrakakis Boi Faltings Add to Reading List Source URL: liawww.epfl.ch Language: English - Date: 2013-09-26 07:13:25 Science Recommender system Collaborative filtering GroupLens Research Markov chain Information filtering system Hidden Markov model Kalman filter Variable-order Markov model Markov models Statistics Information science
59	Designing Better Location Fields in User Profiles Ting-Yu Wang F. Maxwell Harper GroupLens Research Add to Reading List Source URL: www-users.cs.umn.edu Language: English - Date: 2014-09-11 01:21:26 Social media Text messaging Twitter Websites Granularity Internet privacy Social networking service Microblogging Geotagging Technology World Wide Web Real-time web
60	Avoiding the South Side and the Suburbs: The Geography of Mobile Crowdsourcing Markets Jacob Thebault-Spieker GroupLens Research University of Minnesota Add to Reading List Source URL: www-users.cs.umn.edu Language: English - Date: 2015-02-16 03:08:05 World Wide Web Business Social psychology Computing Citizen science Amazon Mechanical Turk Information society Long Tail Socioeconomic status Social information processing Crowdsourcing Human-based computation

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