计算机工程与应用2016，Vol.52Issue(1)：55-60,6.DOI:10.3778/j.issn.1002-8331.1503-0173
基于博文及网络结构信息的好友推荐方法
Friend recommendation method based on micro-blogs and network structural information
摘要
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 recom-mendation 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.关键词
好友推荐/社交网络/微博/网络结构/用户兴趣Key words
friend recommendation/social network/micro-blog/network structure/user interest分类
信息技术与安全科学引用本文复制引用
许超逸,李德玉,王素格..基于博文及网络结构信息的好友推荐方法[J].计算机工程与应用,2016,52(1):55-60,6.基金项目
国家自然科学基金(No.61175067,No.61272095) （No.61175067,No.61272095）
国家自然科学基金重点项目(No.61432011) （No.61432011）
山西省回国留学人员科研项目(No.2013-014) （No.2013-014）
山西省自然科学基金(No.2013011066-4) （No.2013011066-4）
山西省科技攻关项目(No.20110321027-02). （No.20110321027-02）
