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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Vydané v:	2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Ročník 1; s. 204 - 207
Hlavní autori:	Poirier, Damien, Fessant, Francoise, Tellier, Isabelle
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2010
Predmet:	Blogs Buildings Collaborative filtering Filtering Motion pictures Numerical models Opinion classification Recommender systems Reviews User Generated Content Web 2.0
ISBN:	9781424484829, 1424484820
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