A Link Based Rank of Postings in Newsgroup 1st Edition by Hongbo Liu, Jiahai Yang, Jiaxin Wang, Yu Zhang 97835407349873
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Authors:Hongbo Liu, Jiahai Yang, Jiaxin Wang; Yu Zhang , Tags:Machine Learning and Data Mining in Pattern Recognition , Author sort:Hongbo Liu, Jiahai Yang, Jiaxin Wang & Zhang, Yu , Languages:Languages:eng , Comments:Comments:Machine Learning and Data Mining in Pattern Recognition
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ISBN 13: 97835407349873
Author: Hongbo Liu, Jiahai Yang, Jiaxin Wang; Yu Zhang
Discussion systems such as Usenet, BBS, Forum are important resources for information sharing, view exchanging, problem solving and product feedback, etc. on Internet. The postings in newsgroups on Usenet represents the judgments and choices of participators. The structure of postings could provide helpful information for the users. In this paper, we present a method called PostRank to rank the postings based on the structure of newsgroup. Its results correspond to the eigenvectors of the transition probability matrix and the stationary vectors of the Markov chains. It could provide useful global information for the newsgroup and it can be used to help the users access information in it more effectively and efficiently. This method can be also applied on other discussion systems. Some experimental results and discussions on real data sets collected by us are also provided.
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