JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (3): 91-97.doi: 10.6040/j.issn.1671-9352.1.2015.083

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A news App popular comment prediction framework based on event detection

LI Xi-peng1, 2, GUO Yan1,ZHAO Ling1, ZHANG Ru-qing1,2, LIU Yue1, YU Xiao-ming1, CHENG Xue-qi1*   

  1. 1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;
    2.University of Chinese Academy of Sciences, Beijing 100190, China
  • Received:2015-09-25 Online:2016-03-20 Published:2016-04-07

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Abstract: A framework based on event detection is proposed to do popular comments prediction in news Apps. Taking advantage of the aggregation of news Apps, the problem of sparse data for a single news App is avoided. Also, in this framework, events are detected as the context of comments to solve the cold-start problem; components are loosely coupled, which means it can adapt all kinds of granularity of events. We provide an instance of this framework and it turns out that using the event detection strategy mentioned above, the sparse data problem no longer exists. Whats more, the framework brings a better prediction result than using the comment itself.

Key words: hot comment, prediction, event, news App

CLC Number: 

  • TP393
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