8 citations · 11 across the 2 of their papers we have counts for
3 papers
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…
cs.CL2018
Resource Mention Extraction for MOOC Discussion Forums
Ya-Hui An, Liangming Pan, Min-Yen Kan +2
In discussions hosted on discussion forums for MOOCs, references to online learning resources are often of central importance. They contextualize the discussion, anchoring the disc…