DRN-Reference-Cited by-同舟云学术

DRN

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
language:
Short-container-title:

Author:

Zheng Guanjie¹,Zhang Fuzheng²,Zheng Zihan²,Xiang Yang²,Yuan Nicholas Jing²,Xie Xing²,Li Zhenhui¹

Affiliation:

1. Pennsylvania State University, University Park, PA, USA

2. Microsoft Research Asia, Beijing, China

Funder

NSF

Publisher

ACM Press

Reference52 articles.

1. Gediminas Adomavicius and YoungOk Kwon. 2012. Improving aggregate recommendation diversity using ranking-based techniques. IEEE Transactions on Knowledge and Data Engineering, Vol. 24, 5 (2012), 896--911.

2. Gediminas Adomavicius and Alexander Tuzhilin. 2005. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE transactions on knowledge and data engineering, Vol. 17, 6 (2005), 734--749.

3. Jesús Bobadilla, Fernando Ortega, Antonio Hernando, and Abraham Gutiérrez. 2013. Recommender systems survey. Knowledge-based systems Vol. 46 (2013), 109--132.

4. Djallel Bouneffouf, Amel Bouzeghoub, and Alda Ganccarski. 2012. A contextual-bandit algorithm for mobile context-aware recommender system Neural Information Processing. Springer, 324--331.

5. Nicolo Cesa-Bianchi, Claudio Gentile, and Giovanni Zappella. 2013. A gang of bandits Advances in Neural Information Processing Systems. 737--745.

Cited by 445 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. Unbiased news recommendation model combining time and content;Expert Systems with Applications;2024-12

2. An interactive food recommendation system using reinforcement learning;Expert Systems with Applications;2024-11

3. Result Diversification in Search and Recommendation: A Survey;IEEE Transactions on Knowledge and Data Engineering;2024-10

4. Artificial Intelligence and Machine Learning in eCommerce;Advances in Electronic Commerce;2024-09-27

5. Enhancing Knowledge-Aware Recommendation with Dual-Graph Contrastive Learning;Information;2024-09-02