Resumen
Siteseer is a Web-page recommendation system that uses an individual's bookmarks and the organization of bookmarks within folders for predicting and recommending relevant pages. Siteseer utilizes each user's bookmarks as an implicit declaration of interest in the underlying content, and the user's grouping behavior as an indication of semantic coherency or relevant groupings between subjects. Siteseer treats folders as a personal classification system that enables it to contextualize recommendations in classes defined by the user. Siteseer learns each user's preferences and the categories thorough which they view the world, and at the same time it learns for each Web page how different communities or affinity based clusters of users regard it. Siteseer then delivers personalized recommendations of online content, Web pages, organized according to each users's folders. Bookmarks are the result of a very intentional act. Siteseer uses the findings of one user as implicit recommendations for another based on the bookmarked discoveries of a pool of reviewers qualified as trusted recommenders. Siteseer provides as recommendations those pages that have been bookmarked by the user's virtual neighbors, giving preference to ages drawn from folders with the highest overlap as well as those held within multiple folders in the neighborhood.