Conversational Contextual Bandit: Algorithm and Application

Author:

Zhang Xiaoying1,Xie Hong2,Li Hang3,C.S. Lui John1

Affiliation:

1. The Chinese University of Hong Kong, Hong Kong

2. College of Computer Science Chongqing University, China

3. Bytedance Inc., China

Publisher

ACM

Reference18 articles.

1. Yasin Abbasi-Yadkori Dávid Pál and Csaba Szepesvári. 2011. Improved algorithms for linear stochastic bandits. In Advances in Neural Information Processing Systems. 2312–2320. Yasin Abbasi-Yadkori Dávid Pál and Csaba Szepesvári. 2011. Improved algorithms for linear stochastic bandits. In Advances in Neural Information Processing Systems. 2312–2320.

2. Yuheng Bu and Kevin Small. 2018. Active Learning in Recommendation Systems with Multi-level User Preferences. arXiv preprint arXiv:1811.12591(2018). Yuheng Bu and Kevin Small. 2018. Active Learning in Recommendation Systems with Multi-level User Preferences. arXiv preprint arXiv:1811.12591(2018).

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

4. Q&R

Cited by 53 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. Conversational Dueling Bandits in Generalized Linear Models;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Graph-based dynamic attribute clipping for conversational recommendation;Discover Computing;2024-05-10

3. Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook;Expert Systems with Applications;2024-03

4. Robust and efficient algorithms for conversational contextual bandit;Information Sciences;2024-02

5. Toward joint utilization of absolute and relative bandit feedback for conversational recommendation;User Modeling and User-Adapted Interaction;2024-01-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3