Social affinity filtering: Recommendation through fine-grained analysis of user interactions and activities

S Sedhain, S Sanner, L Xie, R Kidd, KN Tran… - Proceedings of the first …, 2013 - dl.acm.org
Content recommendation in social networks poses the complex problem of learning user
preferences from a rich and complex set of interactions (eg, likes, comments and tags for …
被引用次数：23 相关文章
[PDF] psu.edu

[PDF][PDF] Social Affinity Filtering

S Sedhain, S Sanner, L Xie, R Kidd, KN Tran… - 2013 - Citeseer
Content recommendation in social networks poses the complex problem of learning user
preferences from a rich and complex set of interactions (eg, likes, comments and tags for …
[PDF] anu.edu.au

[PDF][PDF] Social Affinity Filtering

S Sedhain, S Sanner, L Xie, R Kidd, KN Tran… - 2013 - users.cecs.anu.edu.au
Content recommendation in social networks poses the complex problem of learning user
preferences from a rich and complex set of interactions (eg, likes, comments and tags for …
[PDF] github.io

[PDF][PDF] Social Affinity Filtering

S Sedhain, S Sanner, L Xie, R Kidd, KN Tran… - 2013 - mesuvash.github.io
Content recommendation in social networks poses the complex problem of learning user
preferences from a rich and complex set of interactions (eg, likes, comments and tags for …
[PDF] github.io

[PDF][PDF] Social Affinity Filtering

S Sedhain, S Sanner, L Xie, R Kidd, KN Tran… - 2013 - ssanner.github.io
Content recommendation in social networks poses the complex problem of learning user
preferences from a rich and complex set of interactions (eg, likes, comments and tags for …
[PDF] anu.edu.au

[PDF][PDF] Social Affinity Filtering

S Sedhain, S Sanner, L Xie, R Kidd, KN Tran… - 2013 - users.cecs.anu.edu.au
Content recommendation in social networks poses the complex problem of learning user
preferences from a rich and complex set of interactions (eg, likes, comments and tags for …