Leveraging multi-dimensional user models for personalized next-track music recommendation
Author:
Affiliation:
1. TU Dortmund, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3019612.3019756
Reference34 articles.
1. Build your own music recommender by modeling internet radio streams
2. The dynamics of repeat consumption
3. Scaling up music playlist generation
4. Rush
Cited by 23 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. Content Based Recommender System: Methodologies, Performance, Evaluation and Application;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16
2. Intra-list similarity and human diversity perceptions of recommendations: the details matter;User Modeling and User-Adapted Interaction;2022-12-12
3. An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection;COVID;2022-07-25
4. Building effective recommender systems for tourists;AI Magazine;2022-06
5. Adaptive architecture based on agents for assessing a web application;Multimedia Tools and Applications;2022-05-11
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