7 citations · 7 across the 3 of their papers we have counts for
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cs.IR2023
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation
Liangcai Su, Fan Yan, Jieming Zhu +5
Two-tower models are a prevalent matching framework for recommendation, which have been widely deployed in industrial applications. The success of two-tower matching attributes to…
cs.IR2023
Timestamps as Prompts for Geography-Aware Location Recommendation
Yan Luo, Haoyi Duan, Ye Liu +1
Location recommendation plays a vital role in improving users' travel experience. The timestamp of the POI to be predicted is of great significance, since a user will go to differe…