Personalized News Recommendation Based on Collaborative Filtering

Because of the abundance of news on the web, news recommendation is an important problem. We compare three approaches for personalized news recommendation: collaborative filtering at the level of news items, content-based system recommending items with similar topics, and a hybrid technique. We obse...

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Vydané v:	2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Ročník 1; s. 437 - 441
Hlavní autori:	Garcin, Florent, Zhou, Kai, Faltings, Boi, Schickel, Vincent
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2012
Predmet:	Biological system modeling Collaborative filtering Filtering History Internet news recommendation Probabilistic logic Recommender systems Testing Training Vectors
ISBN:	9781467360579, 1467360570
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