11 citations · 25 across the 4 of their papers we have counts for
4 papers
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation
Qingtian Bian, Marcus Vinícius de Carvalho, Tieying Li +3
Cross-Domain Sequential Recommendation (CDSR) has recently gained attention for countering data sparsity by transferring knowledge across domains. A common approach merges domain-s…
A Simple Yet Effective Approach for Diversified Session-Based Recommendation
Qing Yin, Hui Fang, Zhu Sun +1
Session-based recommender systems (SBRSs) have become extremely popular in view of the core capability of capturing short-term and dynamic user preferences. However, most SBRSs pri…
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…
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning
Qingtian Bian, Jiaxing Xu, Hui Fang +1
The motivations of users to make interactions can be divided into static preference and dynamic interest. To accurately model user representations over time, recent studies in sequ…