1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.IR2026
Boundary-Aware Multi-Behavior Dynamic Graph Transformer for Sequential Recommendation
Jingsong Su, Xuetao Ma, Mingming Li +2
In the landscape of contemporary recommender systems, user-item interactions are inherently dynamic and sequential, often characterized by various behaviors. Prior research has exp…
cs.LG2025★ 1 cited
Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
Renqi Jia, Xiaokun Zhang, Bowei He +4
User behavior records serve as the foundation for recommender systems. While the behavior data exhibits ease of acquisition, it often suffers from varying quality. Current methods…