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Recommender systems
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#	Item
21	Social Applications: Exploring A More Secure Framework Andrew Besmer, Heather Richter Lipford, Mohamed Shehab, Gorrell Cheek Department of Software and Information Systems University of North Carolina at Charlotte 9201 U Add to Reading List Source URL: cups.cs.cmu.edu Language: English - Date: 2009-05-28 10:41:50 Software Computing Social networking services Social information processing Facebook Universal Windows Platform apps Cloud applications Internet privacy Facebook Platform Web 2.0 Unity Recommender system
22	I present a new similarity score, based on a statistical model, that is useful for clustering problems with high missing data rates and discrete data values. In settings that range from genomics to recommender systems, I Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Information science Recommender systems Information retrieval Information Data mining Collaborative filtering Collaborative software Collective intelligence Social information processing Cluster analysis SimRank Robust collaborative filtering
23	4/2/13 推荐系统初探 A Survey of Recommender Systems 张永锋清华大学计算机系 Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-03-02 08:17:50 Draft: Draft:Imagine Optic
24	DiRec: Diversified Recommendations for Semantic-less Collaborative Filtering Rubi Boim, Tova Milo, Slava Novgorodov School of Computer Science Tel-Aviv University {boim,milo,slavanov}@post.tau.ac.il Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2011-05-13 08:28:21 Information science Recommender systems Statistics Information Collaboration Collective intelligence Collaborative filtering Medoid Cluster analysis
25	IEEE TRANSACTIONS ON BIG DATA, VOL. 2, NO. 2, APRIL-JUNE 2016 Add to Reading List Source URL: octavia.zoology.washington.edu Language: English - Date: 2016-08-12 02:03:13 Information science Academia Information retrieval Recommender systems Networks Academic publishing Citation metrics PageRank Collaborative filtering GroupLens Research Network science Citation analysis
26	A Hybrid Peer Recommender System for an Online Community of Teachers Cristian Miranda U. Austral de Chile Casilla 567, Valdivia Add to Reading List Source URL: columbus.exp.sis.pitt.edu Language: English - Date: 2014-09-24 15:05:45 Recommender systems Collective intelligence Information science Information Computing Social information processing Collaboration Collaborative filtering Cold start MovieLens Educational technology Item-item collaborative filtering
27	In the Mood4: Recommendation by Examples Rubi Boim and Tova Milo School of Computer Science, Tel Aviv University , Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2013-04-24 03:43:04 Information science Recommender systems Information retrieval Economy Collective intelligence Collaboration Collaborative filtering Similarity Personalization Item-item collaborative filtering Product finder
28	National Science Foundation Research Experience for Undergraduates in Sensory Ecology Instructions: (a) Save file to desktop; (b) Rename file: Lastname_REUApplication; (c) Open and fill it out in Adobe Acrobat Pro or Rea Add to Reading List Source URL: www.artsci.uc.edu Language: English - Date: 2016-01-12 18:28:40 Software Computing Email Recommendation Mail Recommender systems
29	Personal vs. Social PersDB 2010 Magdalini Eirinaki San Jose State University, CA, USA First, there were personalized Add to Reading List Source URL: persdb10.imis.athena-innovation.gr Language: English - Date: 2010-09-24 11:17:17 Information science Information retrieval Social information processing Recommender systems Collective intelligence Humancomputer interaction Information Collaborative filtering Personalization Social networking service GroupLens Research
30	Introduction to the Social Web Content Search, Recommendation and Exploration Sihem Amer-Yahia Behrooz Omidvar-Tehrani CNRS/LIG Add to Reading List Source URL: exmo.inria.fr Language: English - Date: 2015-12-01 08:01:30 Information science Computing Information retrieval Collective intelligence Knowledge representation Recommender systems Social bookmarking Folksonomy Social networking service Tag Netflix Personalization