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News Recommendation for China Sina Weibo Microblog Service Based on User Social Behaviors
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Author(s): Zuo Yuchu (Sun Yat-sen University, China), You Fang (Sun Yat-sen University, China), Wang Jianmin (Sun Yat-sen University, China)and Zhou Zhengle (Sun Yat-sen University, China)
Copyright: 2014
Pages: 24
Source title:
Creating Personal, Social, and Urban Awareness through Pervasive Computing
Source Author(s)/Editor(s): Bin Guo (Northwestern Polytechnical University, China), Daniele Riboni (University of Milano, Italy)and Peizhao Hu (NICTA, Australia)
DOI: 10.4018/978-1-4666-4695-7.ch010
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Abstract
Sina weibo microblog is an increasingly popular social network service in China. In this work, the authors conducted a study of detecting news in Sina weibo microblog. They found the traditional definition for news can be generalized here. They first expanded the definition of news by conducting user surveys and quantitative analysis. The authors built a news recommendation system by modeling the users, classifying them into four different groups, and applying several heuristic rules, which derived from the generalized definition of news. By applying the new recommendation system, people got newsworthy information, while the funny and interesting tweets, which are popular in Sina weibo microblog, were put in the last ranking list. This study helps us achieve better understanding of heuristic rules about news. Some official organizations can also benefit from the work by supervising the most popular news around civilians.
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