[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.
( Cui Jindong, Du Wenqiang, Guan Yang . Research on Microblog Information Recommendation Method Based on Big Data and LDA Fusion[J]. Information Science, 2018,36(9):27-31, 76.)
Armentano M G, Godoy D, Amandi A . Topology-based Recommendation of Users in Micro-blogging Communities[J]. Journal of Computer Science and Technology, 2012,27(3):624-634.
Chin A, Xu B, Wang H. Who Should I Add as a “Friend”?: A Study of Friend Recommendations Using Proximity and Homophily [C]//Proceedings of the 4th International Workshop on Modeling Social Media. 2013.
Chen H H, Jin H, Cui X L . Hybrid Followee Recommendation in Microblogging Systems[J]. Science China(Information Sciences), 2017,60(1):21-34.
( Zeng Jin, He Guoxiu . Research on Friends Recommendation for Weibo Users Based on Multi-mode Data[J]. Information Science, 2019,37(3):136-140, 176.)
Sherchan W, Nepal S, Paris C . A Survey of Trust in Social Networks[J]. ACM Computing Surveys, 2013,45(4):1-33.
Massa P, Avesani P. Trust-Aware Collaborative Filtering for Recommender Systems [C]// Proceedings of OTM Confederated International Conferences “On the Move to Meaningful Internet Systems”. 2004: 492-508.
( Sun Yifan, Li Sai . Similarity-Based Community Detection in Social Network of Microblog[J]. Journal of Computer Research and Development, 2014,51(12):2797-2807.)
Seifoddini H, Djassemi M . The Production Data-based Similarity Coefficient Versus Jaccard’s Similarity Coefficient[J]. Computers and Industrial Engineering, 1991,21(1-4):263-266.
( Zhang Yu, Zhao Haobo . A Multidimensional Study on the Behavior of Liking in Social Media[J]. Journalism Lover, 2017(8):8-11.)
Rath B, Gao W, Ma J, et al. From Retweet to Believability: Utilizing Trust to Identify Rumor Spreaders on Twitter [C]//Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis & Mining. 2017: 179-186.