关键词: 社会化标签, 个性化, 用户兴趣模型, 向量空间模型, 标签共现

Abstract: As for the disadvantages of available user interests modeling methods in social tagging systems: always use a set of scattered tags to represent users' interests but ignore the combination use of tags, a new user modeling method was proposed, which introduced co-occurrence techniques into the naive approach. The proposed method added some tag pairs on the basis of naive approach to user model, which reflects tags relationship and considers tags weight. The experimental results on dataset PKDD2009 show that the new model can achieve a higher precision and recall rate, which outperforms the nave method and co-occurrence method.

Key words: social tagging, personalization, users interest model, Vector Space Model （VSM）, tag co-occurrence