Research on themes recommendation in micro-blogging scenario based on neighbor-user profile
Zheng Jian-xin · Journal of Shandong University · 2013
In micro-blogging social network,micro-blog content is short text and covered less themes. In addition,themes in netw ork changed fast and user's interests updated frequently. Existing user profile can't accurately depict various interests of user. Group of users w ith high aw areness can form neighbor set of user,w hose topic interests can comprehensively reflect diverse interests of target user. A neighbor-user profile implementing algorithm w as 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 netw ork platform.