Presentation 2006/1/5
Differentiation of User Behavior in an E-commerce System using Network Structural Analysis
Yuumi Kawachi, Hiroyuki Morimoto, Shinichiro Yoshii,
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Abstract(in English) This paper presents an approach to detect singularity (i.e. specific characteristics, idiosyncrasies, and unified patterns) in user behavior from network structures in Internet auctions. We can see the flow of goods from a seller to a buyer as a directed link and a user as a node, which comprises the auction network. One user behavior is related to user behaviors who conduct transactions with the users. Given this idea, our approach is that the evaluations of users are evaluated by other users' evaluation through the directed links. It is thought that the analyzing features of auction networks should lead to detecting specific characteristics in user behavior. As a result of calculation experiments using the HITS algorithm, we found the users who have relationships like brand and brand loyalty.
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Paper # AI2005-22
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Committee AI
Conference Date 2006/1/5(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Differentiation of User Behavior in an E-commerce System using Network Structural Analysis
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1st Author's Name Yuumi Kawachi
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Hiroyuki Morimoto
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Shinichiro Yoshii
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2006/1/5
Paper # AI2005-22
Volume (vol) vol.105
Number (no) 509
Page pp.pp.-
#Pages 8
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