1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.IR2024
Feature Interaction Fusion Self-Distillation Network For CTR Prediction
Lei Sang, Qiuze Ru, Honghao Li +3
Click-Through Rate (CTR) prediction plays a vital role in recommender systems, online advertising, and search engines. Most of the current approaches model feature interactions thr…
cs.IR2024★ 1 cited
Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
Lei Sang, Yu Wang, Yi Zhang +2
Contrastive Learning (CL)-based recommender systems have gained prominence in the context of Heterogeneous Graph (HG) due to their capacity to enhance the consistency of representa…