most citedSession-Based Recommendation by Exploiting Substitutable and Complementary Relationships from Multi-behavior Data

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.IR2024★ 6 cited

Session-Based Recommendation by Exploiting Substitutable and Complementary Relationships from Multi-behavior Data

Huizi Wu, Cong Geng, Hui Fang

Session-based recommendation (SR) aims to dynamically recommend items to a user based on a sequence of the most recent user-item interactions. Most existing studies on SR adopt adv…