Critiquing-based recommenders: survey and emerging trends

Author:

Chen Li,Pu Pearl

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Education

Reference52 articles.

1. Agrawal R., Imielinski T., Swami A.: Mining association rules between sets of items in large databases. In: Buneman, P., Jajodia, S. (eds) Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data (SIGMOD’93), pp. 207–216. ACM, New York (1993)

2. Burke, R.: Knowledge-based Recommender Systems. Encyclopedia of Library and Information Systems 69 (2000)

3. Burke, R., Hammond, K., Cooper, E.: Knowledge-based navigation of complex information spaces. In: Proceedings of the 13th National Conference on Artificial Intelligence (AAAI’96), pp. 462–468 (1996)

4. Burke R., Hammond K., Young B.: The FindMe approach to assisted browsing. IEEE Expert: Intell. Syst. Their Appl. 12, 32–40 (1997)

5. Carenini, G., Poole, D.: Constructed preferences and value-focused thinking: implications for AI research on preference elicitation. AAAI-02 Workshop on Preferences in AI and CP: symbolic approaches, Edmonton (2000)

Cited by 179 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. “I Want It That Way”: Enabling Interactive Decision Support Using Large Language Models and Constraint Programming;ACM Transactions on Interactive Intelligent Systems;2024-08

2. Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors;ACM Transactions on Recommender Systems;2024-07-31

3. Cold-Start Product Recommendation Method Based on GAE;Journal of Computing and Electronic Information Management;2024-07-29

4. The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender Systems;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

5. Sports recommender systems: overview and research directions;Journal of Intelligent Information Systems;2024-05-23

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