信息茧房与准确率：基于复合型算法的个性化模拟推荐系统被引量：7

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摘要本文在分析算法型信息分发的主要推荐机制基础上,指出了在实际的研究中,算法推荐的准确率如何衡量的一种方法,并结合了协同过滤和文本分析两种主流推荐机制设计了基于复合型推荐算法的模拟个性化信息推荐系统。

作者严宇桥张蔚坪

机构地区北京师范大学

出处《电子技术与软件工程》 2019年第24期257-258,共2页 ELECTRONIC TECHNOLOGY & SOFTWARE ENGINEERING

基金北京市社会科学基金项目阶段性成果，项目号：18YTC037

关键词算法推荐协同过滤信息茧房行为实验

分类号 TP3 [自动化与计算机技术—计算机科学与技术]

作者简介严宇桥(1996-),男,河南省郑州市人。就读于北京师范大学,硕士。研究方向为文化传播;张蔚坪(1998-),男,安徽省合肥市人。就读于北京师范大学,大学本科学历。研究方向为计算机科学与技术。

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1喻国明,曲慧.“信息茧房”的误读与算法推送的必要——兼论内容分发中社会伦理困境的解决之道[J].新疆师范大学学报（哲学社会科学版）,2020,41(1):127-133. 被引量：133
2刘春玲,张黎.改进非对称相似度和关联正则化的推荐算法[J].计算机工程与应用,2020,56(16):45-49. 被引量：3
3史凡,陈杰.算法推荐模式的成因、危害及规范策略[J].科技传播,2019,11(17):126-127. 被引量：1
4刘建国,周涛,郭强,汪秉宏.个性化推荐系统评价方法综述[J].复杂系统与复杂性科学,2009,6(3):1-10. 被引量：134

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