most citedWSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2023★ 4 cited

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering

Yankai Chen, Yifei Zhang, Menglin Yang +3

Maximizing the user-item engagement based on vectorized embeddings is a standard procedure of recent recommender models. Despite the superior performance for item recommendations,…