Behavioral analysis based on relations in weblogs

Authors:
Tadanobu Furukawa;Tomofumi Matsuzawa;Yutaka Matsuo;Koki Uchiyama;Masayuki Takeda
Affiliations:
Graduate School of Science and Technology, Tokyo University of Science, Chiba, Japan;Dept of Information Sciences, Tokyo University of Science, Chiba, Japan;National Institute of Advanced Industrial Science and Technology, Tokyo, Japan;hottolink, Inc., Tokyo, Japan;Dept of Information Sciences, Tokyo University of Science, Chiba, Japan
Venue:
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Year:
2006

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Abstract

This paper analyze the influence of the relations among blogs on users' browsing behavior assuming that users' activities can be predict by the relations on the blog network We define the measure for two-hop relations as a factor to influence activities, and check the correlation between them or with users' behavior by using blog data including visiting behavior Attempting to determine the relations on which users read the blogs with interest as a helpful information for page recommendation, we conduct the experiments with a machine learning As a result, even though the performance is not very high, we get the effective factors for prediction.