activity
20212026
most citedUltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation

34 citations · 77 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

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…