Users' satisfaction in recommendation systems for groups
Author:
Affiliation:
1. Federal University of Sergipe, São Cristóvão, Brazil
Publisher
ACM Press
Reference26 articles.
1. G. Adomavicius and A. Tuzhilin. 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, 17(6):734--749, June 2005.
2. G. Adomavicius and A. Tuzhilin. Context-Aware Recommender Systems. In F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, editors, Recommender Systems Handbook. Springer US, Boston, MA, 2011.
3. K. J. Arrow. Social Choice and Individual Values. Wiley, 2nd edition, 1963.
4. P. Bekkerman, S. Kraus, and F. Ricci. Applying cooperative negotiation methodology to group recommendation problem. In A. Felfernig and M. Zanker, editors, Proceedings of Workshop on Recommender Systems in 17th European Conference on Artificial Intelligence (ECAI 2006), pages 72--75, Riva del Garda, Italy, 2006.
5. L. Boratto and S. Carta. State-of-the-Art in Group Recommendation and New Approaches for Automatic Identification of Groups. In A. Soro, E. Vargiu, G. Armano, and G. Paddeu, editors, Information Retrieval and Mining in Distributed Environments, volume 324 of Studies in Computational Intelligence, pages 1--20. Springer Berlin Heidelberg, Berlin, Heidelberg, 2011.
Cited by 25 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. Modeling User Retention through Generative Flow Networks;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24
2. A Hybrid Group-Based Food Recommender Framework for Handling Overlapping Memberships;Applied Sciences;2024-07-04
3. Knowledge graph-based graph neural network models for multi-perspective modeling of group preferences;Electronic Commerce Research;2023-11-18
4. A Systematic Review of Interaction Design Strategies for Group Recommendation Systems;Proceedings of the ACM on Human-Computer Interaction;2022-11-07
5. A hybrid group-based movie recommendation framework with overlapping memberships;PLOS ONE;2022-03-31
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