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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Bibliographic Details

Published in:	2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Vol. 1; pp. 437 - 441
Main Authors:	Garcin, Florent, Zhou, Kai, Faltings, Boi, Schickel, Vincent
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2012
Subjects:	Biological system modeling Collaborative filtering Filtering History Internet news recommendation Probabilistic logic Recommender systems Testing Training Vectors
ISBN:	9781467360579, 1467360570
Online Access:	Get full text
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