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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110151.pdf - Accepted Version 65kB |
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 & Humanities > School of Humanities > Information Studies |
| Copyright Holders: | Copyright © 2015 The Author |
| Publisher Policy: | Reproduced with the permission of the author |
| Related URLs: |
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