ABSTRACT
However, information obtaining only from the searching portal of tags can no longer satisfy users’ demands for information due to tags’ unlimited usage and the rapid expansion of tag information. Through empirical analysis of user-defined tags in Douban Reading, the paper researches users’ tagging behavior and co-occurrence situations and discovers users’ interests in order to recommend personalized information to users.
