most citedA Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2024

Cluster-based Graph Collaborative Filtering

Fan Liu, Shuai Zhao, Zhiyong Cheng +2

Graph Convolution Networks (GCNs) have significantly succeeded in learning user and item representations for recommendation systems. The core of their efficacy is the ability to ex…

cs.IR2022★ 1 cited

A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data

Wenting Ye, Hongfei Yang, Shuai Zhao +3

The substitute-based recommendation is widely used in E-commerce to provide better alternatives to customers. However, existing research typically uses the customer behavior signal…