75 citations · 97 across the 5 of their papers we have counts for
5 papers
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation
Huizi Wu, Hui Fang, Zhu Sun +3
Session-based recommendation (SR) has gained increasing attention in recent years. Quite a great amount of studies have been devoted to designing complex algorithms to improve reco…
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…
LP-UIT: A Multimodal Framework for Link Prediction in Social Networks
Huizi Wu, Shiyi Wang, Hui Fang
With the rapid information explosion on online social network sites (SNSs), it becomes difficult for users to seek new friends or broaden their social networks in an efficient way.…
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…
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…