27 citations · 61 across the 4 of their papers we have counts for
4 papers
Modeling Multi-aspect Preferences and Intents for Multi-behavioral Sequential Recommendation
Haobing Liu, Jianyu Ding, Yanmin Zhu +4
Multi-behavioral sequential recommendation has recently attracted increasing attention. However, existing methods suffer from two major limitations. Firstly, user preferences and i…
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…
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…