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New objective functions for social collaborative filtering
2012
Proceedings of the 21st international conference on World Wide Web - WWW '12
This paper examines the problem of social collaborative filtering (CF) to recommend items of interest to users in a social network setting. Unlike standard CF algorithms using relatively simple user and item features, recommendation in social networks poses the more complex problem of learning user preferences from a rich and complex set of user profile and interaction information. Many existing social CF methods have extended traditional CF matrix factorization, but have overlooked important
doi:10.1145/2187836.2187952
dblp:conf/www/NoelSTCXBAP12
fatcat:2tmlwhnvsvffnofx7jggdmkhpa