22 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 22 cited
Understanding Diversity in Session-Based Recommendation
Qing Yin, Hui Fang, Zhu Sun +1
Current session-based recommender systems (SBRSs) mainly focus on maximizing recommendation accuracy, while few studies have been devoted to improve diversity beyond accuracy. Mean…
cs.CL2019★ 1 cited
Deep Human Answer Understanding for Natural Reverse QA
Rujing Yao, Linlin Hou, Lei Yang +3
This study focuses on a reverse question answering (QA) procedure, in which machines proactively raise questions and humans supply the answers. This procedure exists in many real h…
cs.CL2019
Semi-interactive Attention Network for Answer Understanding in Reverse-QA
Qing Yin, Guan Luo, Xiaodong Zhu +2
Question answering (QA) is an important natural language processing (NLP) task and has received much attention in academic research and industry communities. Existing QA studies as…