131 citations · 158 across the 5 of their papers we have counts for
5 papers
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
Ling Huang, Can-Rong Guan, Zhen-Wei Huang +4
Recently, Deep Neural Networks (DNNs) have been widely introduced into Collaborative Filtering (CF) to produce more accurate recommendation results due to their capability of captu…
GSR: Global Graph Guided Session-based Recommendation
Zhi-Hong Deng, Chang-Dong Wang, Ling Huang +2
Session-based recommendation tries to make use of anonymous session data to deliver high-quality recommendation under the condition that user-profiles and the complete historical b…
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism
Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng +4
Collaborative Filtering (CF) based recommendation methods have been widely studied, which can be generally categorized into two types, i.e., representation learning-based CF method…
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection
Pei-Zhen Li, Ling Huang, Chang-Dong Wang +1
Network community detection is a hot research topic in network analysis. Although many methods have been proposed for community detection, most of them only take into consideration…
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang +2
In general, recommendation can be viewed as a matching problem, i.e., match proper items for proper users. However, due to the huge semantic gap between users and items, it's almos…