Finding Unknown Interests Utilizing the Wisdom of Crowds in a Social Bookmark Service

Author

Shiratsuchi, Kei ; Yoshii, Shinichiro ; Furukawa, Masashi

Author_Institution

Graduate Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo

fYear

2006

fDate

Dec. 2006

Firstpage

421

Lastpage

424

Abstract

In this paper, we develop an information recommendation system based on information edited by various users. This system targets a social bookmark service. Our method for finding appropriate information is to gather each user´s bookmark data on the Web and develop a system that analyzes the user´s association. Assuming that users that have similar interests also have information associated to those interests, we describe user co-citation relationships as a network. We extract the sub-graph as the community in which each user centers from this network. And we develop a Web service designed to automatically recommend new information regarding these interests. That service has a list of users who share similar preferences with the specified user and a system to present recommended information to the user

Keywords

Web services; information retrieval; Web service; information recommendation system; social bookmark service; sub-graph extraction; user co-citation relationships; Bipartite graph; Complex networks; Data mining; Information analysis; Information retrieval; Information science; Intelligent agent; Publishing; Uniform resource locators; Web services;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence and Intelligent Agent Technology Workshops, 2006. WI-IAT 2006 Workshops. 2006 IEEE/WIC/ACM International Conference on

Conference_Location

Hong Kong

Print_ISBN

0-7695-2749-3

Type

conf

DOI

10.1109/WI-IATW.2006.73

Filename

4053284