Recommendation for Repeat Consumption from User Implicit Feedback-Reference-Cited by-同舟云学术

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Recommendation for Repeat Consumption from User Implicit Feedback

Published:2016-11-01 Issue:11 Volume:28 Page:3083-3097
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Chen Jun,Wang Chaokun,Wang Jianmin,Yu Philip S.

Funder

National Natural Science Foundation of China

China National Arts Fund (the “Internet+Jingju” Big Data System)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/7583629/07518642.pdf?arnumber=7518642

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SLH-BIA: Short-Long Hawkes Process for Buy It Again Recommendations at Scale;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Ranking the causal impact of recommendations under collider bias in k-spots recommender systems;ACM Transactions on Recommender Systems;2024-05-14

3. Modeling interaction behavior and preference decline for live stream recommendation;Decision Support Systems;2024-04

4. LSTM-UBI: a user behavior inertia based recommendation method;Multimedia Tools and Applications;2024-01-31

5. Exploiting Group-Level Behavior Pattern for Session-Based Recommendation;IEEE Transactions on Knowledge and Data Engineering;2024-01

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