基于社区专家用户权威度的微博推荐算法研究  

A microblog recommendation algorithm based on the authority of community expert users

作　　者：马倩 王新[1] 郑承宇 王婷 MA Qian;WANG Xin;ZHENG Cheng-Yu;WANG Ting(School of Mathematics and Computer Sciences,Yunnan Minzu University,Kunming 650500,China)

机构地区：[1]云南民族大学数学与计算机科学学院,云南昆明650500

出　　处：《云南民族大学学报（自然科学版）》2020年第6期628-634,共7页Journal of Yunnan Minzu University:Natural Sciences Edition

基　　金：国家自然科学基金(61363022);云南民族大学研究生创新基金(2018YJCXS234)。

摘　　要：针对微博推荐方法存在效率不高、数据稀疏等问题,首先将用户交互级别与用户专业知识水平作为用户信任程度;其次融合改进的平台认证指数,用户活跃度和用户影响力3种因素,得到用户权威度;最后结合用户的信任关系和微博用户的权威度选出专家用户集,计算专家用户的兴趣相似度进行推荐,改进了基于社区专家用户权威度的微博推荐算法.实验结果表明,改进的推荐算法能有效地提高准确率、召回率和F1值.Aiming at the problems of low efficiency and sparse data in microblog recommendation methods.Firstly, user interaction level and user professional knowledge level are taken as user trust level;secondly, user authority is obtained by integrating the improved platform authentication index, user activity and user influence;finally, combining the trust relationship of users and the authority of microblog users, the expert user set is selected, and the interest similarity of expert users is calculated for recommendation. The microblog recommendation algorithm based on the authority of community expert users is improved. The experimental results show that the improved recommendation algorithm can effectively improve the precision, recall rate and F1 value.

关 键 词：社区划分 用户权威度 专家用户 推荐算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]