13 citations · 38 across the 4 of their papers we have counts for
4 papers
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis
Haobing Liu, Yanmin Zhu, Chunyang Wang +3
Behavior prediction based on historical behavioral data have practical real-world significance. It has been applied in recommendation, predicting academic performance, etc. With th…
Deep Meta-learning in Recommendation Systems: A Survey
Chunyang Wang, Yanmin Zhu, Haobing Liu +3
Deep neural network based recommendation systems have achieved great success as information filtering techniques in recent years. However, since model training from scratch require…
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
Tianzi Zang, Yanmin Zhu, Haobing Liu +2
Traditional recommendation systems are faced with two long-standing obstacles, namely, data sparsity and cold-start problems, which promote the emergence and development of Cross-D…
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks
Haobing Liu, Yanmin Zhu, Tianzi Zang +3
Prediction tasks about students have practical significance for both student and college. Making multiple predictions about students is an important part of a smart campus. For ins…