6 citations · 6 across the 5 of their papers we have counts for
Showing cs.IRShow all
2 papers · 1 filter
cs.IR2023
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
ZiJie Song, JiaWei Chen, Sheng Zhou +4
In recommendation systems (RS), user behavior data is observational rather than experimental, resulting in widespread bias in the data. Consequently, tackling bias has emerged as a…
cs.IR2014★ 6 cited
Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems
Yonghong Yu, Can Wang, Yang Gao
Recommender system has attracted lots of attentions since it helps users alleviate the information overload problem. Matrix factorization technique is one of the most widely employ…