Hybrid Personalized Tag Recommendation Algorithm Design and Evaluation

Abstract

With the widespread popularity of Web 2.0 website, Collaborative Tagging System, as one of the famous social software, is getting more attention now. Tag recommendation technology has been developed to help users with tagging process recently. However, most of the tag recommendation methods are merely based on the content of tagged resource. Aiming at this limitation, a hybrid personalized tag recommendation algorithm based on user preference and content is proposed. The experiments show that this algorithm has good robustness and high degree of automation. And solve the tag system of a righteous.