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Social Affinity Filtering:Recommendation through Fine-grained Analysis of User Interactions and Activities

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Sedhain, Suvash
Sanner, Scott
Xie, Lexing
Kidd, Riley
Tran, Khoi-Nguyen
Christen, Peter

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Association for Computing Machinery Inc (ACM)

Abstract

Content recommendation in social networks poses the complex problem of learning user preferences from a rich and complex set of interactions (e.g., likes, comments and tags for posts, photos and videos) and activities (e.g., favourites, group memberships,

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Restricted until

2037-12-31