30 citations · 119 across the 9 of their papers we have counts for
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cs.IR2021★ 30 cited
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking
Yutao Zhu, Jian-Yun Nie, Zhicheng Dou +5
Context information in search sessions has proven to be useful for capturing user search intent. Existing studies explored user behavior sequences in sessions in different ways to…
cs.IR2019★ 11 cited
A Long-Short Demands-Aware Model for Next-Item Recommendation
Ting Bai, Pan Du, Wayne Xin Zhao +2
Recommending the right products is the central problem in recommender systems, but the right products should also be recommended at the right time to meet the demands of users, so…