计算机工程与科学2018，Vol.40Issue(2)：348-353,6.DOI:10.3969/j.issn.1007-130X.2018.02.022
面向兴趣主题的个性化好友推荐
Topic-oriented recommendation based on user's interest
摘要
Abstract
Personalized friends recommendation is animportant wayto promote the service quality of social networks.In alarge-scale social network,accurately recommending friends with similar themes can make usersstickier,but the sparseness of the massive data makes most of the existing social networks cannot accurately make friend recommendations based on similarities in the interests of users.To address this issue,a personalized topic-oriented recommendation method based on user's interest (ITOR) is proposed.Firstly,the topics of user's interests are extracted by K-core analyzing method.Secondly,combining the users' attributes information,the probability of being good friends can be computed.The satisfaction and accuracy of recommendation resultsare further enhanced with this probability.Finally,we verify the effectiveness of the proposed method by crawling SinaWeibo data released in September 2015.关键词
个性化/好友推荐/兴趣/主题相似性/先验概率Key words
personalized/friend recommendation/interest/topic similarity/prior probability分类
信息技术与安全科学引用本文复制引用
齐会敏,刘群,戴大祥..面向兴趣主题的个性化好友推荐[J].计算机工程与科学,2018,40(2):348-353,6.基金项目
国家自然科学基金(61075019) （61075019）
重庆市自然科学基金(CSTC2014jcyjA40047) （CSTC2014jcyjA40047）
重庆市教委研究项目(KJ1400403) （KJ1400403）
重庆市研究生科研项目 （）
重庆邮电大学博士启动项目(A2014-20) （A2014-20）
