A Hybrid, Multi-dimensional Recommender for Journal Articles in a Scientific Digital Library

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DOIResolve DOI: http://doi.org/10.1109/WI-IATW.2007.29
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TypeArticle
Proceedings titleProceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology
Conference2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, Workshops, Silicon Valley, CA, USA, November 2-5, 2007
ISBN0-7695-3028-1
Pages111114; # of pages: 4
AbstractA recommender system for scientific scholarly articles that is both hybrid (content and collaborative filtering based) and multi-dimensional (across metadata categories such as subject hierarchies, journal clusters and keyphrases) can improve scientists' ability to discover new knowledge from a digital library. Providing users with an interface which enables the filtering of recommendations across these multiple dimensions can simultaneously provide explanations for the recommendations and increase the user's control over how the recommender behaves.
Publication date
LanguageEnglish
AffiliationNRC Canada Institute for Scientific and Technical Information; National Research Council Canada
Peer reviewedNo
NPARC number8898528
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Record identifier639a27d9-3f7f-4e52-aa87-d3ccb254a1bd
Record created2009-04-22
Record modified2016-05-09
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