Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis
Haobing Liu,
Yanmin Zhu,
Chunyang Wang
et al.
Abstract:Behavior prediction based on historical behavioral data have practical real-world significance. It has been applied in recommendation, predicting academic performance, etc. With the refinement of user data description, the development of new functions, and the fusion of multiple data sources, heterogeneous behavioral data which contain multiple types of behaviors become more and more common. In this paper, we aim to incorporate heterogeneous user behaviors and social influences for behavior predictions. To thi… Show more
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