Reducing the Cold-Start Problem in Content Recommendation through Opinion Classification

Like search engines, recommender systems have become a tool that cannot be ignored by websites with a large selection of products, music, news or simply webpages links. The performance of this kind of system depends on a large amount of information. At the same time, the amount of information on the...

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Bibliographic Details

Published in:	2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Vol. 1; pp. 204 - 207
Main Authors:	Poirier, Damien, Fessant, Francoise, Tellier, Isabelle
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2010
Subjects:	Blogs Buildings Collaborative filtering Filtering Motion pictures Numerical models Opinion classification Recommender systems Reviews User Generated Content Web 2.0
ISBN:	9781424484829, 1424484820
Online Access:	Get full text
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