Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation

doi:10.1109/ACCESS.2019.2922985

	Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation
	Che, Binbin 1; Zhao, Pengpeng 1,2; Fang, Junhua 1; Zhao, Lei 1; Sheng, Victor S.3; Cui, Zhiming 4
	2019
发表期刊	IEEE ACCESS
ISSN	2169-3536
卷号	7 页码:80644-80650
摘要	Next basket recommendation with consideration of user sequential shopping behaviors plays a significant role in E-commerce to improve the user experience and service quality. Recently, recurrent neural networks (RNNs), especially attention-based RNN, have been widely adopted in the next basket recommendation. However, existing fixed attention mechanisms are not designed to model the dynamic and diverse characteristics of user appetites. In this paper, we propose an inter-basket and intra-basket adaptive attention network (IIAAN) for the next basket recommendation. Specifically, the inter-basket adaptive attention acts on all historical user baskets to model user's diverse long-term preferences, while the intra-basket adaptive attention is designed to act on item-level in the most recent basket to model user's dynamic and different short-term preferences. Then, we further integrate inter-basket and intra-basket adaptive attentions together to improve recommendation effectiveness. Finally, we evaluate the proposed model IIAAN using three real-world datasets from various E-commerce platforms. Our experimental results show that our model IIAAN significantly outperforms the state-of-the-art approaches for the next basket recommendation.
关键词	Basket recommendation recurrent neural network adaptive attention
DOI	10.1109/ACCESS.2019.2922985
收录类别	SCI
语种	英语
资助项目	NSFC[61876217] ; NSFC[61872258] ; NSFC[61728205] ; Suzhou Science and Technology Development Program[SYG201803] ; Postdoctoral Research Foundation of China[2017M621813] ; Natural Science Fund for Colleges and Universities in Jiangsu Province[18KJB520044] ; Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences[IIP2019-1]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000474702200001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4326
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhao, Pengpeng
作者单位	1.Soochow Univ, Sch Comp Sci & Technol, Inst Artificial Intelligence, Suzhou 215006, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 3.Univ Cent Arkansas, Comp Sci Dept, Conway, AR 72035 USA 4.Suzhou Univ Sci & Technol, Sch Elect & Informat Engn, Suzhou 215009, Peoples R China
推荐引用方式 GB/T 7714	Che, Binbin,Zhao, Pengpeng,Fang, Junhua,et al. Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation[J]. IEEE ACCESS,2019,7:80644-80650.
APA	Che, Binbin,Zhao, Pengpeng,Fang, Junhua,Zhao, Lei,Sheng, Victor S.,&Cui, Zhiming.(2019).Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation.IEEE ACCESS,7,80644-80650.
MLA	Che, Binbin,et al."Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation".IEEE ACCESS 7(2019):80644-80650.