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

UNSPECIFIED (2010) Recommending research colloquia: A study of several sources for user profiling. In: UNSPECIFIED.

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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. © 2010 ACM.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Date: 20 December 2010
Date Type: Publication
Journal or Publication Title: Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec 2010, Held at the 4th ACM Conference on Recommender Systems, RecSys 2010
Page Range: 32 - 38
Event Type: Conference
DOI or Unique Handle: 10.1145/1869446.1869451
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781450304078
Other ID: DOI: 10.1145/1869446.1869451
Date Deposited: 06 Jul 2011 16:21
Last Modified: 05 Jan 2019 16:00
URI: http://d-scholarship.pitt.edu/id/eprint/5988

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