Deep Collaborative Filtering Approaches for Context-Aware Venue Recommendation
Author:
Affiliation:
1. University of Glasgow, Glasgow, United Kingdom
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3077136.3084159
Reference5 articles.
1. Jarana Manotumruksa Craig Macdonald and Iadh Ounis. 2016natexlabb. Regularising factorised models for venue recommendation using friends and their comments Proc. of CIKM. 1981--1984. Jarana Manotumruksa Craig Macdonald and Iadh Ounis. 2016natexlabb. Regularising factorised models for venue recommendation using friends and their comments Proc. of CIKM. 1981--1984.
2. Matrix Factorisation with Word Embeddings for Rating Prediction on Location-Based Social Networks
3. Steffen Rendle Christoph Freudenthaler Zeno Gantner and Lars Schmidt-Thieme 2009. BPR: Bayesian personalized ranking from implicit feedback Proc. of UAI. 452--461. endthebibliography Steffen Rendle Christoph Freudenthaler Zeno Gantner and Lars Schmidt-Thieme 2009. BPR: Bayesian personalized ranking from implicit feedback Proc. of UAI. 452--461. endthebibliography
Cited by 5 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. A novel high-utility association rule mining method and its application to movie recommendation;Multimedia Tools and Applications;2023-10-11
2. Improving Re-rankCCP with Rules Quality Measures;Annals of Computer Science and Information Systems;2022-09-26
3. A State-of-the-Art Survey on Context-Aware Recommender Systems and Applications;International Journal of Knowledge and Systems Science;2021-07
4. Deep sparse autoencoder prediction model based on adversarial learning for cross-domain recommendations;Knowledge-Based Systems;2021-05
5. Collaborative Filtering Algorithm Based on Rating Prediction and User Characteristics;2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2019-12
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