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

Date

2013

Authors

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

Journal Title

Journal ISSN

Volume Title

Publisher

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,

Description

Keywords

Citation

Source

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1145/2512938.2512947

Restricted until

2037-12-31