Recommender system

Results: 1335



#Item
871Information / Collaboration / Recommender system / Collaborative filtering / Twitter / Bing / HTTP cookie / GroupLens Research / Information science / Information retrieval / World Wide Web

Summary of the 15th Discovery Challenge Recommending Given Names Folke Mitzlaff1 , Stephan Doerfel1 , Andreas Hotho2,3 , Robert J¨aschke3 , and Juergen Mueller1,3 1

Add to Reading List

Source URL: ceur-ws.org

Language: English - Date: 2014-01-24 08:58:52
872Web 2.0 / Social information processing / Computational linguistics / Semantic similarity / Internet / Email / Recommender system / Similarity / Data mining / Computing / Digital media / World Wide Web

Extracting Semantic User Networks From Informal Communication Exchanges A.L. Gentile, V. Lanfranchi, S. Mazumdar, and F. Ciravegna Department of Computer Science University of Sheffield Sheffield, United Kingdom

Add to Reading List

Source URL: iswc2011.semanticweb.org

Language: English - Date: 2011-09-14 09:58:31
873Learning / Adaptive hypermedia / Adaptive educational hypermedia / Recommender system / E-learning / Personal learning environment / Blended learning / Cold start / Authoring of adaptive hypermedia / Hypertext / Education / Hypermedia

Microsoft Word - RecSysBook_TEL_revised

Add to Reading List

Source URL: dspace.ou.nl

Language: English - Date: 2010-12-21 20:05:29
874Social information processing / Photo sharing / Social media / Blog hosting services / Flickr / Social networking service / Facebook / Recommender system / Twitter / World Wide Web / Web 2.0 / Computing

Analyzing Favorite Behavior in Flickr Marek Lipczak1?? , Michele Trevisiol2 , and Alejandro Jaimes2 1 Dalhousie University, Halifax, Canada, B3H 1W5, [removed]

Add to Reading List

Source URL: www.micheletrevisiol.com

Language: English - Date: 2014-04-16 11:01:19
875Computing / Marketing / Human–computer interaction / Personalization / Knowledge representation / Yahoo! / Collaborative filtering / Recommender system / User profile / Information science / World Wide Web / Information retrieval

Microsoft Word - making_the_daily_me_really_final_for_distribution_to_academics.doc

Add to Reading List

Source URL: www.city.ac.uk

Language: English - Date: 2015-03-02 11:01:52
876Recommender system

GRADUAT E SCHO O L RECO MME ND ATIO N F ORM University of Maryland, Baltimore County Use this form if your references will not be submitting their recommendations on-line. I n s t r u c t i o n s to a p pl i c an t : P l

Add to Reading List

Source URL: www.umbc.edu

Language: English - Date: 2011-12-12 14:38:50
    877Business / Advertising / Compensation / Pricing / Information retrieval / Personalization / Pay per click / Ad serving / Recommender system / Marketing / Internet / Internet marketing

    ELÉRÉS IMAGE TARGETÁLÁS

    Add to Reading List

    Source URL: www.gravityrd.jp

    Language: English - Date: 2014-07-23 10:08:57
    878Search algorithms / Multivariate statistics / K-nearest neighbor algorithm / Similarity / Multidimensional scaling / Scaling / Recommender system / Vector space / Dimensional analysis / Algebra / Mathematics / Statistics

    Indexing Content-Based Music Similarity Models for Fast Retrieval in Massive Databases RIGOROSUM Dipl.-Ing. Dominik Schnitzer Dr. Simon Dixon (Prüfer)

    Add to Reading List

    Source URL: www.schnitzer.at

    Language: English - Date: 2012-02-02 07:08:47
    879Science / Knowledge / Academia / Library science / Cataloging / Recommender system

    --------------------------------------------------------------------------------------------------------------------------- Cataloguing guidelines for community archives These guidelines are designed to help small herit

    Add to Reading List

    Source URL: www.communityarchives.org.uk

    Language: English - Date: 2014-05-02 08:14:11
    880World Wide Web / Twitter / Collective intelligence / Knowledge representation / Social media / Personalization / Hashtag / User model / Recommender system / Information science / Information / Information retrieval

    Analyzing Temporal Dynamics in Twitter Profiles for Personalized Recommendations in the Social Web Fabian Abel, Qi Gao, Geert-Jan Houben, Ke Tao Web Information Systems, TU Delft PO Box 5031, 2600 GA Delft, the Netherlan

    Add to Reading List

    Source URL: fabianabel.de

    Language: English - Date: 2011-05-27 04:40:09
    UPDATE