关键词: 好友推荐, 社交网络, 微博, 网络结构, 用户兴趣

Abstract: Due to the arbitrariness and falsity when people describe the attributes of users, it is invalid for us to apply the node attributes effectively while building the model of user interests. Aimed at this problem, a sort of hybrid friend recommendation method is proposed based on the interest preference and structural closures. At first, by using the LDA topic model, a model is constructed for users’ micro-blogs, so as to mining the interest of users. At the same time, the method refines the preference of the target users according to the principle of homogeneity through the interest preference of friends. Meanwhile, a novel prediction index based on network structure is proposed to measure the structure closeness between users. The experimental results indicate that the rate of accuracy and AUC has significant improvement considering the interest of user, compares with the effect of recommendation via only on the partial structure. The interest preference of friends has also to some extent enhanced the interest mining effect of part of users whose blog topics are not explicit.

Key words: friend recommendation, social network, micro-blog, network structure, user interest