New Objective Functions for Social Collaborative Filtering
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...[Show more]
|Collections||ANU Research Publications|
|Source:||WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web|
|01_Noel_New_Objective_Functions_for_2012.pdf||701.84 kB||Adobe PDF||Request a copy|
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