《计算机应用研究》|Application Research of Computers

基于用户扩展兴趣的微博推荐方法

Microblog recommendation method based on extended interest of users

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作者 徐建民,刘明艳,王苗
机构 河北大学 网络空间安全与计算机学院,河北 保定 071002
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文章编号 1001-3695(2019)06-011-1652-04
DOI 10.19734/j.issn.1001-3695.2018.05.0264
摘要 为解决微博用户兴趣提取不准确的问题,提出一种基于用户扩展兴趣的微博推荐方法。该方法将用户个体兴趣与关联兴趣结合为用户扩展兴趣进行微博推荐。其中,用户个体兴趣从用户标签、发布微博及交互微博中提取;用户关联兴趣通过用户与其关注用户间的关注关系强度、交互频繁程度和个体兴趣相似度获取。最后,计算用户扩展兴趣与待推荐微博的相似度,对相似度降序排列产生推荐列表。实验结果表明,新方法较传统方法更具有效性和准确性。
关键词 个体兴趣; 关联兴趣; 扩展兴趣; 微博推荐
基金项目 河北省自然科学基金资助项目(2015201142)
国家社科基金后期资助项目(17FTQ002)
本文URL http://www.arocmag.com/article/01-2019-06-011.html
英文标题 Microblog recommendation method based on extended interest of users
作者英文名 Xu Jianmin, Liu Mingyan, Wang Miao
机构英文名 School of Cyber Security & Computer,Hebei University,Baoding Hebei 071002,China
英文摘要 In order to deal with the problem of extracting interest of microblog users inaccurately, this paper proposed a microblog recommendation method based on extended interest of users. This method combined individual interest and associated interest to represent extended interest for recommending microblogs. It extracted individual interest of users from their tags, posted microblogs and interacted microblogs. Then it got associated interest by the strength of following/followed links, interaction frequency and individual interest similarity between users and their followee. Finally, it calculated the similarity between extended interest of users and the microblogs to be recommended, generated the recommendation lists by descending the order of similarity. Experimental results show that the method is more effective and precise than the traditional methods.
英文关键词 individual interest; associated interest; extended interest; microblog recommendation
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收稿日期 2018/5/21
修回日期 2018/7/9
页码 1652-1655
中图分类号 TP393.02
文献标志码 A