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A comprehensive ranking model for tweets big data in online ...
EURASIP Journal on Wireless Communications and Networking
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由 L Kuang 著作2016被引用 21 次 — In this paper, we propose a comprehensive ranking model for recommending valuable tweets to users. Our approach considers three important ...
A comprehensive ranking model for tweets big data in ...
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We consider three major aspects in our proposed ranking model, including the popularity of a tweet itself, the intimacy between the user and the tweet publisher ...
A comprehensive ranking model for tweets big data in online ...
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We consider three major aspects in our proposed ranking model, including the popularity of a tweet itself, the intimacy between the user and the tweet publisher ...
A comprehensive ranking model for tweets big data in online ...
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This paper investigates the problem of recommending valuable tweets that users are really interested in personally, so as to reduce their efforts to find ...
Revision History for A comprehensive ranking model for...
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We consider three major aspects in our proposed ranking model, including the popularity of a tweet itself, the intimacy between the user and the tweet publisher ...
邝砾
中南大学教师个人主页
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中南大学教师个人主页
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A Comprehensive Ranking Model for Tweets Big Data in Online Social Network. EURASIP Journal on Wireless Communications and Networking, 2016, 2016(46): 1-9.
郭克华
中南大学教师个人主页
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中南大学教师个人主页
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Li Kuang, Xiang Tang, MeiQi Yu, Yujian Huang, Kehua Guo. A comprehensive ranking model for tweets big data in online social network. EURASIP J. Wirel.
Towards Personalized Search for Tweets
Springer
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由 A Choche 著作2013被引用 1 次 — In this paper, we outline a scalable and personalized tweet search framework that takes into account the search parameters, the distances of the follower ...
A Tweet-Centric Approach for Topic-Specific Author ...
Springer
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由 S Kong 著作2011被引用 46 次 — A comprehensive ranking model for tweets big data in online social network. Article Open access 10 February 2016. Weibo User Influence Evaluation Method Based ...
(PDF) Ranking news feed updates on social media
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Ranking news feed updates by relevance has been proposed to help users catch up with the content they may find interesting. For this matter, supervised learning ...