M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software
Reference41 articles.
1. Efficient recommendation methods using category experts for a large dataset;Hwang;Inform. Fusion,2016
2. Improving the accuracy of top-n recommendation using a preference model;Lee;Inf. Sci.,2016
3. Y. Lee, S.-W. Kim, S. Park, and X. Xie. How to impute missing ratings?: Claims, solution, and its application to collaborative filtering, in: Proc. of the 27th Int’l Conf. on World Wide Web (WWW), pages 783–792, 2018.
4. Real-time recommender system for online broadcasting;Park;Inf. Sci.,2017
5. K.-J. Cho, Y.-C. Lee, K. Han, J. Choi, and S.-W. Kim. No, That’s Not My Feedback: TV show recommendation using watchable interval, in: Proc. of the 35th IEEE Int’l Conf. on Data Engineering (ICDE), pages 316–327, 2019.
Cited by 20 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. FSBPR: a novel approach to improving BPR for recommendation with the fusion of similarity;The Journal of Supercomputing;2024-02-06
2. Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion;Information Sciences;2024-01
3. Uninteresting Items: Concept and Its Application to Effective Collaborative Filtering in Recommender Systems;ACM SIGWEB Newsletter;2023-09
4. LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04
5. MbSRS: A multi-behavior streaming recommender system;Information Sciences;2023-06
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