Capturing User Interests for Content-based Recommendations

Hopfgartner, F. (2015) Capturing User Interests for Content-based Recommendations. In: 2nd Workshop on New Trends in Content-Based Recommender Systems, Vienna, Austria, 20 Sep 2015, p. 1.

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Publisher's URL: http://ceur-ws.org/Vol-1448/paper1.pdf

Abstract

Nowadays, most recommender systems provide recommendations by either exploiting feedback given by similar users, referred to as collaborative filtering, or by identifying items with similar properties, referred to as content-based recommendation. Focusing on the latter, this keynote presents various examples and case studies that illustrate both strengths and weaknesses of content-based recommendation

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hopfgartner, Dr Frank
Authors: Hopfgartner, F.
Subjects:Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
College/School:College of Arts > School of Humanities > Humanities Advanced Technology and Information Institute (HATII)
Copyright Holders:Copyright © 2015 The Author
Publisher Policy:Reproduced with the permission of the author
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