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
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