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Comment Centric News Analysis for Ranking

Xiaozhong Liu

(Submission #95)


Ranking documents to feed users' information need is a challenging task, due to the dynamic nature of users' interests with respect to a query, which changes from time to time. In this paper, I will propose an innovative method to extract a real-time vector-space representation of community interest given a query by training (reader) comments tagged news corpus, and further use this representation for ranking retrieved documents.

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