Personalized microblog recommendations based on trustpropagation and implicit microblog similarity  

作　　者：Elham MAZINAN Hassan NADERI Mitra MIRZAREZAEE Saber SAATI 

机构地区：[1]Department of Computer Engineering,Science and Research Branch,Islamic Azad University,Tehran 1477893855,Iran [2]Department of Computer Engineering,Iran University of Science and Technology,Tehran 1684613114,Iran [3]Department of Mathematics,Tehran North branch,Islamic Azad University,Tehran 1651153311,Iran

出　　处：《Frontiers of Computer Science》2021年第4期215-216,共2页中国计算机科学前沿（英文版）

基　　金：This work was supported by Science and Research Branch,Islamic Azad University,Tehran,Iran.

摘　　要：1 Introduction and main contributions Everyone knows about the effectiveness of microblog social recommender systems,such as Twitter,in sharing information[1–3]One of the challenges posed by social recommender systems is the offering of relevant recommendations to the target user in spite of the heterogeneity of the links in the social network.Therefore,the mere consideration of links cannot offer proper recommendations to the target user.

关 键 词：SIMILARITY offering SPITE 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]