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Recommender system
Results: 1335

#	Item
961	Deep content-based music recommendation A¨aron van den Oord, Sander Dieleman, Benjamin Schrauwen Electronics and Information Systems department (ELIS), Ghent University {aaron.vandenoord, sander.dieleman, benjamin.schr Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-04-23 13:10:21 Collaborative filtering Learning to rank Recommender system Music information retrieval Speech recognition Machine learning Neural network Information science Information retrieval Science
962	CWI and TU Delft at TREC 2013: Contextual Suggestion, Federated Web Search, KBA, and Web Tracks Alejandro Bellogín† , Gebrekirstos G. Gebremeskel† , Jiyin He† , Jimmy Lin∗ , Alan Said† , Thaer Samar† , Arjen Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-02-28 12:39:25 Learning to rank Ranking function Recommender system Tf*idf Relevance Precision and recall Collaborative filtering Vector space model Search engine indexing Information science Information retrieval Science
963	Freshman/Transfer Academic Recommendation Form To the student: The top portion of this form should be completed by you and given to the recommender who has agreed to provide you with an academic recommendation to accompa Add to Reading List Source URL: www.uky.edu Language: English - Date: 2013-08-30 11:13:15 Recommender system Email GroupLens Research
964	LETTER OF RECOMMENDATION FORM To the Candidate: Complete following information (print or type) and forward it to recommender (professor, minister or employer – not a relative). Let your recommender know that the Schola Add to Reading List Source URL: www2.middlesexcc.edu Language: English - Date: 2014-04-02 14:23:19 Email Scholarship Education Knowledge Recommender system
965	TO THE APPLICANT: Two letters of recommendation are required and can be submitted by mail. Letters may be submitted 3 ways: 1. Your recommender(s) return the Recommendation Form to you in a sealed envelope with his/her s Add to Reading List Source URL: programs.online.american.edu Language: English - Date: 2014-09-04 10:14:34 Recommender system Recommendation letter Communication Technology Media technology Email Letter Postal system
966	Structural Diversity in Social Recommender Systems Xinyi (Lisa) Huang Mitul Tiwari University of Waterloo Add to Reading List Source URL: ls13-www.cs.uni-dortmund.de Language: English - Date: 2013-10-07 11:55:48 Social information processing Network theory Sociology Recommender system Degree distribution LinkedIn Centrality Connectivity Structural cohesion Graph theory Mathematics Networks
967	York University at TREC 2013: Contextual Suggestion Track Sushma Yalamarti, Mariam Daoud, Jimmy Huang Information Retrieval and Knowledge Management Research Lab York University, Toronto, Canada {vsushma, daoud, jhuang}@ Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-02-28 12:39:28 Information Recommender system Ontology Personalization Collaborative filtering Text Retrieval Conference Open Directory Project Personalized search Information science Science Information retrieval
968	University of Pittsburgh School of Health and Rehabilitation Sciences (SHRS) Recommendation Form __________________________________________________________________________________________ Full name of applicant—Last na Add to Reading List Source URL: www.oafa.pitt.edu Language: English - Date: 2013-05-31 13:18:37 Graduate school Recommender system Recommendation letter Professor Education Academia Knowledge
969	EMU Confidential Letter of Recommendation Instructions to Applicant: Complete the top portion of this form and give it to the person providing your recommendation. Please include an envelope addressed to Eastern Mennoni Add to Reading List Source URL: collaborativemba.org Language: English - Date: 2014-04-15 12:49:59 Recommender system Graduate school Master of Business Administration Recommendation letter
970	University of Lugano at the TREC 2013 Contextual Suggestion Track Andrei Rikitianskii, Morgan Harvey, Fabio Crestani University of Lugano (USI), Lugano, Switzerland {andrei.rikitianskii,morgan.harvey,fabio.crestani}@usi. Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-02-28 12:39:26 Information retrieval Recommender system Software User profile Personalization Science Information science Human–computer interaction User interface techniques

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