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Online social media has become one of the most important ways people communicate, while how to find valuable information from huge amounts of data becomes a key problem. We present a novel topic extraction method that employs topic value of each words and social model attributes as additional features based on the multi-document summarization. The experimental results show that the multi-document...
Web server log files registered browsing patterns of users, in order to extract users with similar accessing patterns, providing personal service for them. In this paper, a new method of analysis on web log is proposed. A User-URL matrix is created and a weighted matrix is introduced, additionally, a multimarker propagation algorithm based on weighted matrix cluster is proposed. The experiments show...
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