Abstract:

In micro-blogging social network, micro-blog content is short text and covered less themes. In addition, themes in network changed fast and user′s interests updated frequently. Existing user profile can′t accurately depict various interests of user. Group of users with high awareness can form neighbor set of user, whose topic interests can comprehensively reflect diverse interests of target user. A neighbor-user profile implementing algorithm was proposed by building neighbor theme interest set of ontology user profile and calculating update of neighbor theme interest degree of ontology user profile in terms of neighbor set of target user. Experiments show that the accuracy of micro-blogging themes recommendation based on neighbor-user profile performs better than that of traditional individual user profile in the micro-blogging social network platform.

Key words: user profile; ontology; neighbor-user profile; micro-blogging