Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model | |
Liu, Qiang1,2; Wu, Shu1,2; Wang, Liang1,2 | |
发表期刊 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING |
2017-06 | |
卷号 | 29期号:6页码:1254-1267 |
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. |
关键词 | Collaborative Filtering Sequential Prediction Multi-behavior Recurrent Log-bilinear |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/19620 |
专题 | 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 |
第一作者单位 | 中国科学院自动化研究所 |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
07837622.pdf(990KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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