Multi-view visual Bayesian personalized ranking for restaurant recommendation
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-01703-6.pdf
Reference35 articles.
1. Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions [J]. IEEE Trans Knowl Data Eng 17(6):734–749
2. Cheng H T, Koc L, Harmsen J et al (2016) Wide & deep learning for recommender systems [C]. Proceedings of the 1st workshop on deep learning for recommender systems, pp 7–10
3. Chiliguano P, Fazekas G (2016) Hybrid music recommender using content-based and social information [C]. IEEE International Conference on Acoustics, Speech and Signal Processing, pp 2618–2622
4. Chu W T, Tsai Y L (2017) A hybrid recommendation system considering visual information for predicting favorite restaurants [J]. World Wide Web 20(6):1313–1331
5. Deng J, Dong W, Socher R et al (2009) Imagenet: a large-scale hierarchical image database [C]. IEEE conference on computer vision and pattern recognition, p 248–255
Cited by 30 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. Multimodal Recommender Systems: A Survey;ACM Computing Surveys;2024-09-10
2. Recommendation Systems for the Healthcare Domain: A Comprehensive Survey of Evaluation Datasets;Vietnam Journal of Computer Science;2024-08-31
3. The Application of Two Bayesian Personalized Ranking Approaches based on Item Recommendation from Implicit Feedback;2024 32nd Signal Processing and Communications Applications Conference (SIU);2024-05-15
4. A Multi-Criteria Decision Support Model for Restaurant Selection Based on Users' Demand Level: The Case of Dianping.com;Information Processing & Management;2024-05
5. A novel semi-naive Bayesian restaurant recommendation method considering feature correlation;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12
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