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Tag-based filtering for personalized bookmark recommendations

Published:26 October 2008Publication History

ABSTRACT

This paper investigates using social tags for the purpose of making personalized content recommendations. Our tag-based recommender creates a personalized bookmark recommendation model for each user based on "current" and "general interest" tags, defined by different time intervals.

References

  1. Claypool, M.; Brown, D.; Le, P.; and Waseda, M. 2001. Inferring user interest. IEEE Internet Computing 5(6), 32--39. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Hayes, C.; Avesani, P.; and Veeramachaneni, S. 2007. An analysis of the use of tags in a blog recommender system. In Veloso, M. M., ed., IJCAI, 2772--2777. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Millen, D. R., Feinberg, J., Kerr, B. 2006. Dogear: Social Bookmarking in the Enterprise. In Proc SIGCHI 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        cover image ACM Conferences
        CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management
        October 2008
        1562 pages
        ISBN:9781595939913
        DOI:10.1145/1458082

        Copyright © 2008 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 26 October 2008

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