How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation
Author:
Affiliation:
1. Hong Kong Baptist University, Hong Kong
2. Alibaba Group, China
3. inspirAI Co. Ltd., China
Publisher
ACM Press
Reference47 articles.
1. Panagiotis Adamopoulos and Alexander Tuzhilin. 2014. On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected. ACM Trans. Intell. Syst. Technol. 5, 4, Article 54 (Dec. 2014), 32 pages. https://doi.org/10.1145/2559952
2. Daniel Ellis Berlyne. 1960. Conflict, Arousal and Curiosity. McGraw-Hill.
3. Toine Bogers and Lennart Björneborn. 2013. Micro-serendipity: Meaningful Coincidences in Everyday Life Shared on Twitter. In Proceedings of the iConference 2013. 196-208.
4. Barbara M. Byrne. 2016. Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (3rd ed.). Routledge.
5. Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, and Cataldo Musto. 2015. An Investigation on the Serendipity Problem in Recommender Systems. Inf. Process. Manage. 51, 5 (Sept. 2015), 695-717. https://doi.org/10.1016/j.ipm.2015.06.008
Cited by 59 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. Group Validation in Recommender Systems: Framework for Multi-layer Performance Evaluation;ACM Transactions on Recommender Systems;2024-01-19
2. Recommendation Systems for e-Shopping: Review of Techniques for Retail and Sustainable Marketing;Sustainability;2023-11-21
3. Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives;ACM Transactions on Recommender Systems;2023-10-28
4. Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment;International Journal of Human–Computer Interaction;2023-10-05
5. When Variety Seeking Meets Unexpectedness: Incorporating Variety-Seeking Behaviors into Design of Unexpected Recommender Systems;Information Systems Research;2023-10-04
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