449 citations · 1.6k across the 40 of their papers we have counts for
Showing 2015 · cs.IRShow all
2 papers · 2 filters
cs.IR2015★ 103 cited
Network-based recommendation algorithms: A review
Fei Yu, An Zeng, Sebastien Gillard +1
Recommender systems are a vital tool that helps us to overcome the information overload problem. They are being used by most e-commerce web sites and attract the interest of a broa…
cs.IR2015★ 14 cited
Modeling mutual feedback between users and recommender systems
An Zeng, Chi Ho Yeung, Matus Medo +1
Recommender systems daily influence our decisions on the Internet. While considerable attention has been given to issues such as recommendation accuracy and user privacy, the long-…