Approaching the cold-start problem using community detection based alternating least square factorization in recommendation systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-020-00464-y.pdf
Reference32 articles.
1. Balaga TR, Peram SR, Paleti L (2017) Hadoop techniques for concise investigation of big data in multi-format data sets. In: 2017 2nd international conference on communication and electronics systems (ICCES). IEEE, pp 490–495
2. Bathla G, Aggarwal H, Rani R (2017) A graph-based model to improve social trust and influence for social recommendation. J Supercomput. https://doi.org/10.1007/s11227-017-2196-2
3. Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 2008(10):P10008
4. Boratto L, Carta S (2015) Art: group recommendation approaches for automatically detected groups. Int J Mach Learn Cybern 6(6):953–980
5. Carullo G, Castiglione A, De Santis A, Palmieri F (2015) A triadic closure and homophily based recommendation system for online social networks. World Wide Web 18(6):1579–1601
Cited by 19 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. Movie recommendation based on ALS collaborative filtering recommendation algorithm with deep learning model;Entertainment Computing;2024-09
2. Skills in online job ads: An analysis of Italian regions;Socio-Economic Planning Sciences;2024-08
3. Twit-CoFiD: a hybrid recommender system based on tweet sentiment analysis;Social Network Analysis and Mining;2024-06-27
4. A comprehensive survey on community detection methods and applications in complex information networks;Social Network Analysis and Mining;2024-04-18
5. A novel healthy food recommendation to user groups based on a deep social community detection approach;Neurocomputing;2024-04
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