%A Han Kangkang,Xu Jianmin,Zhang Bin %T Recommending Microblogs with User’s Interests and Multidimensional Trust %0 Journal Article %D 2020 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2020.0049 %P 95-104 %V 4 %N 12 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4993.shtml} %8 2020-12-25 %X

[Objective] This paper tries to improve microblog recommendation method with the trust relationship between microblog profiles and target users, aiming to improve the recommendation results. [Methods] First, the comprehensive trust between microblog users and target users is calculated by using the linear harmonic function of similarity, familiarity and influence. Then, the comprehensive trust degree is used as the adjustment factor to improve the content-based recommendation method. [Results] The F-Measure and DCG-Measure of the method was higher than those of the traditional ones. [Limitations] This method did not examine the indirect relationship among the non-adjacent users. [Conclusions] The proposed method could more effectively recommend microblogs.