ItemSpider: Social Networking Service That Extracts Personal Character from Individual's Book Information

Authors:
Tetsuya Tsukamoto;Hiroyuki Nishiyama;Hayato Ohwada
Affiliations:
Graduate School of Science and Technology, Tokyo University of Science Noda, Chiba, Japan 278-8510;Research Institute for Science and Technology,;Research Institute for Science and Technology,
Venue:
Knowledge Acquisition: Approaches, Algorithms and Applications
Year:
2009

Citing 6
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Abstract

In this study, we develop a social networking service that extracts personal character from a user's book information. This system can share a user's personal book collection with other users and support the formation of a new community by providing the user's friends with a link to his/her book information. We define the user attribute as a vector comprising the book's details (e.g., author and publisher). For a set of users having the same books, a user clustering experiment was conducted on the basis of the user attribute value. In the experiment, users having the same books were observed to be classified in a group.