An observational user study for group recommender systems in the tourism domain
Author:
Publisher
Springer Science and Business Media LLC
Subject
Social Sciences (miscellaneous),General Computer Science
Link
http://link.springer.com/article/10.1007/s40558-018-0106-y/fulltext.html
Reference50 articles.
1. Ali I, Kim SW (2015) Group recommendations: approaches and evaluation. In: Proceedings of the 9th international conference on ubiquitous information management and communication. ACM, p 105
2. Ardissono L, Goy A, Petrone G, Segnan M, Torasso P (2003) Intrigue: personalized recommendation of tourist attractions for desktop and hand held devices. Appl Artif Intell 17(8–9):687–714
3. Bales RF (1950) A set of categories for the analysis of small group interaction. Am Sociol Rev 15:257–263
4. Bekkerman P, Kraus S, Ricci F (2006) Applying cooperative negotiation methodology to group recommendation problem. In: Proceedings of workshop on recommender systems in 17th European conference on artificial intelligence (ECAI’06), pp 72–75
5. Bell A (2008) Predicting interpersonal conflict resolution styles from personality characteristics. Personal Individ Differ 45(2):126–131
Cited by 52 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. Do psychological traits influence the perceived usefulness of rule recommendations in configuration tasks?;Behaviour & Information Technology;2024-08-28
2. A Pilot Study on Multi-Party Conversation Strategies for Group Recommendations;ACM Conversational User Interfaces 2024;2024-07-08
3. A Preliminary Study of the Impact of Personality on Satisfaction in Group Contexts;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27
4. A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27
5. Supporting Group Decision-Making: Insights from a Focus Group Study;Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-22
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