电子学报2017，Vol.45Issue(4)：898-905,8.DOI:10.3969/j.issn.0372-2112
一种基于用户动态兴趣和社交网络的微博推荐方法
Personalized Microblogging Recommendation Based on Dynamic Interests and Social Networking of Users
摘要
Abstract
To recommend useful microblogs that match users' interests and likes effectively,an approach in which the dynamic interests and social networking (DISN) of users are seamlessly integrated based on LDA model is proposed.The approach infers the interest vector of users better by using time function and groups the new published microblogs by clustering method and gets the best matching groups with users' interest vector.Then DISN traverses the selected groups by grid querying approach and matches the microblogs with publishers' probabilities of being followed and sorts the result.Finally the personalized microblogging recommendation is achieved.Experimental results show that DISN is more effective and efficient than the traditional models.关键词
动态兴趣/社交网络/LDA/网格查询/个性化推荐/微博Key words
dynamic interests/social networking/LDA/grid querying/personalized recommendation/microblog分类
信息技术与安全科学引用本文复制引用
陈杰,刘学军,李斌,章玮..一种基于用户动态兴趣和社交网络的微博推荐方法[J].电子学报,2017,45(4):898-905,8.基金项目
国家自然科学基金(No.61203072) （No.61203072）
江苏省重点研发计划(社会发展)(No.BE2015697) （社会发展）
