A novel context-aware recommender system based on a deep sequential learning approach (CReS)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-020-05640-w.pdf
Reference52 articles.
1. He X, He Z, Song J, Liu Z, Jiang Y, Chua T (2018) NAIS: neural attentive item similarity model for recommendation. IEEE Trans Knowl Data Eng 30(12):2354–2366. https://doi.org/10.1109/tkde.2018.2831682
2. Kabbur S, Ning X, Karypis G (2013) Fism. In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining—KDD’13. https://www.doi.org/10.1145/2487575.2487589
3. Sarwar B, Karypis G, Konstan J, Reidl J (2001) Item-based collaborative filtering recommendation algorithms. In: Proceedings of the tenth international conference on world wide web—WWW’01. https://www.doi.org/10.1145/371920.372071
4. Xue F, He X, Wang X, Xu J, Liu K, Hong R (2019) Deep Item-based collaborative filtering for top-n recommendation. ACM Trans Inf Syst 37(3):1–25. https://doi.org/10.1145/3314578
5. He R, Mcauley J (2016) Fusing similarity models with Markov Chains for sparse sequential recommendation. In: 2016 IEEE 16th international conference on data mining (ICDM). https://www.doi.org/10.1109/icdm.2016.0030
Cited by 7 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. Point-of-interest recommendation based on LBSN with multi-aspect fusion of social and individual features;Neural Computing and Applications;2024-04-19
2. Euclidean embedding with preference relation for recommender systems;Multimedia Tools and Applications;2024-04-02
3. A Systematic Literature Review on AI-Based Recommendation Systems and Their Ethical Considerations;IEEE Access;2024
4. An improved deep sequential model for context-aware POI recommendation;Multimedia Tools and Applications;2023-05-09
5. An Intelligent Group Recommender System using Henry Gas Solubility Optimization Algorithm-based Adaptive Deep Belief Network;2023 4th International Conference on Computing and Communication Systems (I3CS);2023-03-16
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