RSDC'09: Tag Recommendation Using Keywords and Association Rules

While a webpage usually contains hundreds of words, there are only two to three tags that would typically be assigned to this page. Most tags could be found in related aspects of the page, such as the page own content, the anchor texts around the page, and the user's own opinion about the page. Thus it is not an easy job to extract the most appropriate two to three tags to recommend for a target user. In addition, the recommendations should be unique for every user, since everyone's perspective for the page is dierent. In this paper, we treat the task of recommending tags as to