Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model

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	Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model
	Liu, Qiang1,2 ; Wu, Shu1,2 ; Wang, Liang1,2
刊名	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
	2017-06
卷号	29 期号:6 页码:1254-1267
关键词	Collaborative Filtering Sequential Prediction Multi-behavior Recurrent Log-bilinear
英文摘要	With the rapid growth of Internet applications, sequential prediction in collaborative filtering has become an emerging and crucial task. Given the behavioral history of a specific user, predicting his or her next choice plays a key role in improving various online services. Meanwhile, there are more and more scenarios with multiple types of behaviors, while existing works mainly study sequences with a single type of behavior. As a widely used approach, Markov chain based models are based on a strong independence assumption. As two classical neural network methods for modeling sequences, recurrent neural networks cannot well model short-term contexts, and the log-bilinear model is not suitable for long-term contexts. In this paper, we propose a Recurrent Log-BiLinear (RLBL) model. It can model multiple types of behaviors in historical sequences with behavior-specific transition matrices. RLBL applies a recurrent structure for modeling long-term contexts. It models several items in each hidden layer and employs position-specific transition matrices for modeling short-term contexts. Moreover, considering continuous time difference in behavioral history is a key factor for dynamic prediction, we further extend RLBL and replace position-specific transition matrices with time-specific transition matrices, and accordingly propose a Time-Aware Recurrent Log-BiLinear (TA-RLBL) model. Experimental results show that the proposed RLBL model and TA-RLBL model yield significant improvements over the competitive compared methods on three datasets, i.e., Movielens-1M dataset, Global Terrorism Database and Tmall dataset with different numbers of behavior types.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/19620]
专题	自动化研究所_智能感知与计算研究中心
作者单位	1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Liu, Qiang,Wu, Shu,Wang, Liang. Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2017,29(6):1254-1267.
APA	Liu, Qiang,Wu, Shu,&Wang, Liang.(2017).Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,29(6),1254-1267.
MLA	Liu, Qiang,et al."Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 29.6(2017):1254-1267.