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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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
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 > Information Studies
Copyright Holders:Copyright © 2015 The Author
Publisher Policy:Reproduced with the permission of the author
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