Title :
Web Page Recommender System based on Folksonomy Mining for ITNG´ 06 Submissions
Author :
Niwa, S. ; Doi, T. ; Honiden, S.
Author_Institution :
Tokyo Univ.
Abstract :
There have been many attempts to construct Web page recommender systems using collaborative filtering. But the domains these systems can cover are very restricted because it is very difficult to assemble user preference data to Web pages, and the number of Web pages on the Internet is too large. In this paper, we propose the way to construct a new type of Web page recommender system covering all over the Internet, by using folksonomy and social bookmark which are getting very popular in these days
Keywords :
Internet; data mining; information filters; Web page recommender system; folksonomy mining; social bookmark; Classification tree analysis; Collaboration; History; Information filtering; Information filters; Internet; Recommender systems; Tagging; Taxonomy; Web pages;
Conference_Titel :
Information Technology: New Generations, 2006. ITNG 2006. Third International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-2497-4
DOI :
10.1109/ITNG.2006.140
