CASIA OpenIR  > 智能感知与计算研究中心
A Dynamic Recurrent Model for Next Basket Recommendation
Yu, Feng; Liu, Qiang; Wu, Shu; Wang, Liang; Tan, Tieniu
Conference NameInternational Conference on Research on Development in Information Retrieval (SIGIR)
Source PublicationIn Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016
Conference DateJuly 17-21
Conference Placepisa
AbstractNext basket recommendation becomes an increasing concern. Most conventional models explore either sequential transaction features or general interests of users. Further, some works treat users’ general interests and sequential behaviors as two totally divided matters, and then combine them in some way for next basket recommendation. Moreover, the state-of-the-art models are based on the assumption of Markov Chains (MC), which only capture local sequential features between two adjacent baskets. In this work, we propose a novel model, Dynamic REcurrent bAsket Model (DREAM), based on Recurrent Neural Network (RNN). DREAM not only learns a dynamic representation of a user but also captures global sequential features among baskets. The dynamic representation of a specific user can reveal user’s dynamic interests at different time, and the global sequential features reflect interactions of all baskets of the user over time. Experiment results on two public datasets indicate that DREAM is more effective than the state-of-the-art models for next basket recommendation.
KeywordNext Basket Recommendation Recurrent Neural Network
Document Type会议论文
Corresponding AuthorWu, Shu
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yu, Feng,Liu, Qiang,Wu, Shu,et al. A Dynamic Recurrent Model for Next Basket Recommendation[C],2016.
Files in This Item: Download All
File Name/Size DocType Version Access License
A Dynamic Recurrent (639KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yu, Feng]'s Articles
[Liu, Qiang]'s Articles
[Wu, Shu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yu, Feng]'s Articles
[Liu, Qiang]'s Articles
[Wu, Shu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yu, Feng]'s Articles
[Liu, Qiang]'s Articles
[Wu, Shu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: A Dynamic Recurrent Model for Next Basket Recommendation.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.