17 citations · 30 across the 6 of their papers we have counts for
Showing cs.SIShow all
2 papers · 1 filter
cs.SI2020★ 3 cited
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts
Ya-Hui An, Qiang Dong, Quan Yuan +1
Nowadays, recommender systems (RSes) are becoming increasingly important to individual users and business marketing, especially in the online e-commerce scenarios. However, while t…
cs.SI2020★ 8 cited
Alleviating the recommendation bias via rank aggregation
Qiang Dong, Quan Yuan, Yang-Bo Shi
The primary goal of a recommender system is often known as "helping users find relevant items", and a lot of recommendation algorithms are proposed accordingly. However, these accu…