Analysis of user's relation and reading activity 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:
JSAI'05 Proceedings of the 2005 international conference on New Frontiers in Artificial Intelligence
Year:
2006

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Abstract

In a blog network, there are many relations such as comment, trackback, and so on. We consider that if the relations are related to user's reading activity, we can extract useful information from the relations for using a recommendation system. We define the strength and type as the measure for relations, and analyze the correlation between those measures and users' reading activity. We attempt to determine the relations on which users regularly read the blogs.