【刊名】International Journal of Human–Computer Interaction
【作者单位】1a School of Artificial Intelligence and Big Data, Guangdong Business and Technology University, Zhaoqing, China;2b School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou, China;3c Design Department of Taiyuan Normal University, Jinzhong, China
【ISSN】1044-7318
【关键词】News recommendation systems filter bubbles selective exposure topic diversity algorithmic recommendation popular news recommendation
【摘要】 This paper is to explore the influence of recommendation system on users’ topic diversity. We construct a simulation system that covers the news recommendation closed-loop processes of user profile generation, news generation and delivery, user selec...
