Recommendation using DMF-based fine tuning method-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Recommendation using DMF-based fine tuning method

Published:2016-04-16 Issue:2 Volume:47 Page:233-246
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Zhang Zhiyuan,Liu Yun,Xu Guandong,Luo Guixun

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China under Grant

A Funder not found in FundRef

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/article/10.1007/s10844-016-0407-6/fulltext.html

Reference33 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. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734–749.

2. Bobadilla, J., Ortega, F., & Hernando, A. (2013). Recommender systems survey. Knowledge-Based Systems, 46, 109–132.

3. Bokde, D., Girase, S., & Mukhopadhyay, D. (2015). Matrix factorization model in collaborative filtering algorithms: A survey. In Proceedings of 4th international conference on advances in computing, communication and control (pp. 136–146).

4. Dueck, D., & Frey, B.J. (2004). Probabilistic sparse matrix factorization. Technical report PSI TR, 2004–023.

5. Forsati, R., Mahdavi, M., Shamsfard, M., & Sarwat, M. (2014). Matrix factorization with explicit trust and distrust side information for improved social recommendation. ACM Transactions on Information Systems, 32(4), 1–38.

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. EqBal-RS: Mitigating popularity bias in recommender systems;Journal of Intelligent Information Systems;2023-11-07

2. Attentional factorization machine with review-based user–item interaction for recommendation;Scientific Reports;2023-08-18

3. Bias Assessment Approaches for Addressing User-Centered Fairness in GNN-Based Recommender Systems;Information;2023-02-17

4. A Scientometric Analysis of Transient Patterns in Recommender System with Soft Computing Techniques;Computación y Sistemas;2021-02-15

5. A Novel Model for Weibo Reposts Prediction by Using Generic Based Segmented BPNN;J INTERNET TECHNOL;2018

同舟云学术

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