ACM Portal
  Subscribe (Full Service)    Register (Limited Service, Free)    Login
  Search:   The ACM Digital Library   The Guide
  
ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Context-aware recommender systems
Full text PdfPdf (161 KB)
Source
ACM Conference On Recommender Systems archive
Proceedings of the 2008 ACM conference on Recommender systems table of contents
Lausanne, Switzerland
TUTORIAL SESSION: Tutorials table of contents
Pages: 335-336  
Year of Publication: 2008
ISBN:978-1-60558-093-7
Authors
Gediminas Adomavicius  University of Minnesota, Minneapolis, MN, USA
Alexander Tuzhilin  New York University, New York, NY, USA
Sponsors
ACM: Association for Computing Machinery
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 48,   Downloads (12 Months): 411,   Citation Count: 3
Additional Information:

cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1454008.1454068
What is a DOI?

CITED BY  3
Pierpaolo Basile , Marco de Gemmis , Leo Iaquinta , Pasquale Lops , Cataldo Musto , Fedelucio Narducci , Giovanni Semeraro, SpIteR: A Module for Recommending Dynamic Personalized Museum Tours, Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, p.584-587, September 15-18, 2009
Umberto Panniello , Alexander Tuzhilin , Michele Gorgoglione , Cosimo Palmisano , Anto Pedone, Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems, Proceedings of the third ACM conference on Recommender systems, October 23-25, 2009, New York, New York, USA
Linas Baltrunas , Francesco Ricci, Context-based splitting of item ratings in collaborative filtering, Proceedings of the third ACM conference on Recommender systems, October 23-25, 2009, New York, New York, USA

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Information filtering

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human information processing
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Selection process


General Terms:
Algorithms, Design, Human Factors


Keywords:
collaborative filtering, contextual information, personalization, recommender systems, tutorial

Collaborative Colleagues:
Gediminas Adomavicius: colleagues
Alexander Tuzhilin: colleagues

The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player