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Recommending research colloquia: a study of several sources for user profiling

Published: 26 September 2010 Publication History

Abstract

The study reported in this paper is an attempt to improve content-based recommendation in CoMeT, a social system for sharing information about research colloquia in Carnegie Mellon and University of Pittsburgh campuses. To improve the quality of recommendation in CoMeT, we explored three additional sources for building user profiles: tags used by users to annotate CoMeT's talks, partial content of CiteULike papers bookmarked by users, and tags used to annotate CiteULike papers. We also compare different tag integration models to study the impact of information fusion on recommendations outcome. The results demonstrate that information encapsulated in CiteULike bookmarks generally helps to improve several aspects of recommendation. The addition of tags by fusing them into keyword profiles helps to improve precision and novelty of recommendation, but may harm systems ability to recommend generally interesting talks. The effects of tags and bookmarks appeared to be stackable.

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  • (2012)The other side of the social webProceedings of the 18th Brazilian symposium on Multimedia and the web10.1145/2382636.2382638(1-4)Online publication date: 15-Oct-2012

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      cover image ACM Conferences
      HetRec '10: Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
      September 2010
      84 pages
      ISBN:9781450304078
      DOI:10.1145/1869446
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      Published: 26 September 2010

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      1. keywords
      2. papers
      3. recommendation system
      4. tags
      5. talks
      6. user profile fusion

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      • (2012)The other side of the social webProceedings of the 18th Brazilian symposium on Multimedia and the web10.1145/2382636.2382638(1-4)Online publication date: 15-Oct-2012

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