Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction
文献类型:期刊论文
作者 | Wang, Pengfei1; Zhang, Yongfeng2; Niu, Shuzi3; Guo, Jiafeng4 |
刊名 | JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
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出版日期 | 2019-11-01 |
卷号 | 34期号:6页码:1230-1240 |
关键词 | sequential recommendation dynamic representation next basket recommendation |
ISSN号 | 1000-9000 |
DOI | 10.1007/s11390-019-1972-2 |
英文摘要 | Next basket prediction attempts to provide sequential recommendations to users based on a sequence of the user's previous purchases. Ideally, a good prediction model should be able to explore the personalized preference of the users, as well as the sequential relations of the items. This goal of modeling becomes even more challenging when both factors are time-dependent. However, existing methods either take these two aspects as static, or only consider temporal dynamics for one of the two aspects. In this work, we propose the dynamic representation learning approach for time-dependent next basket recommendation, which jointly models the dynamic nature of user preferences and item relations. To do so, we explicitly model the transaction timestamps, as well as the dynamic representations of both users and items, so as to capture the personalized user preference on each individual item dynamically. Experiments on three real-world retail datasets show that our method significantly outperforms several state-of-the-art methods for next basket recommendation. |
资助项目 | National Natural Science Foundation of China[61802029] ; National Natural Science Foundation of China[61602451] ; Fundamental Research for the Central Universities of China[500419741] |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000511331700005 |
出版者 | SCIENCE PRESS |
源URL | [http://119.78.100.204/handle/2XEOYT63/14409] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Wang, Pengfei |
作者单位 | 1.Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing 100876, Peoples R China 2.Rutgers State Univ, Dept Comp Sci, New Brunswick, NJ 07450 USA 3.Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Pengfei,Zhang, Yongfeng,Niu, Shuzi,et al. Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2019,34(6):1230-1240. |
APA | Wang, Pengfei,Zhang, Yongfeng,Niu, Shuzi,&Guo, Jiafeng.(2019).Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,34(6),1230-1240. |
MLA | Wang, Pengfei,et al."Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 34.6(2019):1230-1240. |
入库方式: OAI收割
来源:计算技术研究所
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