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Recommender systems
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#	Item
331	Microsoft Word - Final DeathSpecs[removed]doc Add to Reading List Source URL: www.cdc.gov Language: English - Date: 2012-07-17 09:13:45 Database Database theory Recommender system Specification Verification and validation Death certificate Evaluation Database management systems Technology Science
332	Cinemappy: a Context-aware Mobile App for Movie Recommendations boosted by DBpedia Vito Claudio Ostuni1 , Tommaso Di Noia1 , Roberto Mirizzi2 , Davide Romito1 , Eugenio Di Sciascio1 1 Add to Reading List Source URL: sisinflab.poliba.it Language: English - Date: 2012-09-11 07:19:41 Information retrieval Science Information systems Semantic Web Recommender system Collaborative filtering Cold start Information filtering system Linked data Information science World Wide Web Collective intelligence
333	Exploiting the Web of Data in Model-based Recommender Systems Tommaso Di Noia1 , Roberto Mirizzi1,2 , Vito Claudio Ostuni1 , Davide Romito1∗ 2 1 Add to Reading List Source URL: sisinflab.poliba.it Language: English - Date: 2012-06-26 15:45:49 Knowledge representation World Wide Web Science Technical communication Ontology Linked data Recommender system DBpedia Collaborative filtering Semantic Web Information science Information
334	Linked Open Data to support Content-based Recommender Systems Tommaso Di Noia1 , Roberto Mirizzi1 , Vito Claudio Ostuni1 , Davide Romito1 , Markus Zanker2∗ 2 Add to Reading List Source URL: sisinflab.poliba.it Language: English - Date: 2012-06-22 07:36:14 Science Information Collective intelligence Information systems Knowledge representation DBpedia Recommender system Linked data Collaborative filtering Semantic Web Information science World Wide Web
335	International Information Conference on Search, Data Mining and Visualisation Recommender Systems for Analysis Applications Roger Bradford Add to Reading List Source URL: www.infonortics-66.com Language: English - Date: 2014-04-02 04:48:07 Information retrieval Social information processing Collaborative filtering Science GroupLens Research Information science Recommender systems Collective intelligence
336	Jure Leskovec Stanford University Including joint work with Ashton Anderson, Dan Huttenlocher, Dan Jurafsky, Jon Kleinberg, and Julian McAuley  Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2013-03-30 02:44:21 Information society Information retrieval Collective intelligence Recommender systems Collaborative filtering Stanford University Leskovec Online community Social information processing Collaboration Information science
337	Collaborative Filtering with Apache Mahout Sebastian Schelter Sean Owen Technische Universität Berlin, Germany Add to Reading List Source URL: ssc.io Language: English - Date: 2013-02-02 06:04:55 Recommender systems Collective intelligence Science Social information processing Computing Collaborative filtering GroupLens Research Apache Mahout Personalization Information science Information retrieval Human–computer interaction
338	TRUST- AND DISTRUST-BASED RECOMMENDATIONS FOR CONTROVERSIAL REVIEWS Patricia Victor & Chris Cornelis Martine De Cock & Ankur Teredesai Add to Reading List Source URL: journal.webscience.org Language: English - Date: 2011-10-24 11:13:07 Information retrieval Social information processing Collaboration Science Collaborative filtering Cold start Athens Collective intelligence Information science Recommender systems
339	Empirical Bayesian Targeting Jesse T. Quatse, Ph.D. Director of Research, Pay by Touch 101 Second Street San Francisco, CA[removed]Abstract- Popular recommender systems have proven Add to Reading List Source URL: 0029f11.netsolhost.com Language: English - Date: 2007-12-03 09:20:27 Information technology management Customer experience management Technology Recommender systems Personalized marketing Collaborative filtering GroupLens Research Customer relationship management Amazon.com Electronic commerce Business Marketing
340	Chapter 9 Recommendation Systems There is an extensive class of Web applications that involve predicting user responses to options. Such a facility is called a recommendation system. We shall begin this chapter with a s Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2013-11-07 13:54:39 Collaboration Statistics Recommender system Collaborative filtering Netflix Long Tail Cosine similarity Euclidean vector Slope One Information science Information retrieval Science

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