Tweet and followee personalized recommendations based on knowledge graphs
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/article/10.1007/s12652-017-0491-7/fulltext.html
Reference50 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 Trans Knowl Data Eng 17(6):734–749
2. Alonso O et al (2010) “Detecting uninteresting content in text streams”. SIGIR crowdsourcing for search evaluation workshop
3. Armentano MG, Godoy D, Amandi A (2012) Topology-based recommendation of users in micro-blogging communities. J Comput Sci Technol 27(3):624–634
4. Balabanović M, Shoham Y (1997) Fab: content-based, collaborative recommendation. Commun ACM 40(3):66–72
5. Bhattacharya P et al (2014) Inferring user interests in the twitter social network. In: Proceedings of the 8th ACM Conference on recommender systems. ACM
Cited by 33 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. Mutual Interest-Based Twitter Followee Recommendation Using Latent Dirichlet Allocation Topic Modelling;Journal of The Institution of Engineers (India): Series B;2024-08-09
2. Exploiting social capital for improving personalized recommendations in online social networks;Expert Systems with Applications;2024-07
3. Topic and knowledge-enhanced modeling for edge-enabled IoT user identity linkage across social networks;Journal of Cloud Computing;2024-05-21
4. Matrix Factorization Based Normalization in Movie Recommendation Systems;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01
5. Knowledge graph-based recommendation system enhanced by neural collaborative filtering and knowledge graph embedding;Ain Shams Engineering Journal;2024-01
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