75 citations · 97 across the 5 of their papers we have counts for
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cs.IR2022★ 22 cited
Understanding Diversity in Session-Based Recommendation
Qing Yin, Hui Fang, Zhu Sun +1
Current session-based recommender systems (SBRSs) mainly focus on maximizing recommendation accuracy, while few studies have been devoted to improve diversity beyond accuracy. Mean…
cs.IR2022
Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation
Huizi Wu, Cong Geng, Hui Fang
Session-based recommendation which has been witnessed a booming interest recently, focuses on predicting a user's next interested item(s) based on an anonymous session. Most existi…
cs.IR2019★ 75 cited
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations
Hui Fang, Danning Zhang, Yiheng Shu +1
In the field of sequential recommendation, deep learning (DL)-based methods have received a lot of attention in the past few years and surpassed traditional models such as Markov c…