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作 者:党东耀 党欣 Dang Dongyao;Dang Xin(School of Journalism&Communication,Zhengzhou University,Zhengzhou 450001,China)
机构地区:[1]郑州大学新闻与传播学院,河南郑州450001
出 处:《郑州大学学报(哲学社会科学版)》2022年第5期115-120,128,共7页Journal of Zhengzhou University:Philosophy and Social Sciences Edition
基 金:国家社科基金项目“基于大数据的新型智慧城市智能传播平台研究”(项目编号:19BXW046)。
摘 要:智能推荐技术作为一种有效地追求个性化信息的手段,在信息发布、社交娱乐、电子商务等方面有着广泛的运用,但是也带来信息茧房和算法歧视等一系列的问题。对大型科技公司智能推荐技术进行算法的解析表明,智能推荐系统和算法之间并不是单一的对应关系,应包含算理、算法、算力和算规等多种计算要素,智能推荐系统要以算法为核心向以算规为中心转变,立足智能推荐系统各要素,建立政府、媒体、企业和公众一体化的算法协同治理机制,以实现算法的透明性和公正性,保障社会信息传播的客观和全面。As an effective means to pursue personalized information,intelligent recommendation technologyis widely used in information publishing,social entertainment and e-commerce,but it also brings a series of problems such as information cocoon and algorithm discrimination.The algorithm analysis of intelligent recommendation technology in large science and technology companies shows that there is no single correspondence between the intelligent recommendation system and the algorithm,and it should include a variety of calculation elements,such as calculation,algorithm,calculation power and calculation rules.The intelligent recommendation system should be transformed from algorithm-centered to calculation rule-centered.Based on all the elements of the intelligent recommendation system,the algorithm collaborative governance mechanism integrating the government,media,enterprises and the public should be established to realize the transparency and fairness of the algorithm and ensure the objectivity and comprehensiveness of social information communication.
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