Title :
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
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;
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
DOI :
10.1109/WI-IATW.2006.73
