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