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基于用户web日志分析的推荐系统的应用研究

Study on Application of Recommender System Based on User Web Log Analysis
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摘要 为了将用户感兴趣的各种资讯信息主动推荐给用户,提出了一个推荐算法权重公式,改进了基于用户的协同过滤算法,设计出了通用的推荐系统原型架构,并分析了今后的研究方向。 Recommender systems have been proved to be a valuable means for online users to deal with the information overload and have become one of the most powerful and popular tools. A power function of recommender system algorithm was proposed. The collaborative filtering algorithm based on user web log analysis was improved, and the prototype scheme of the recommender system was designed. The direction of study in future was analysed.
作者 王子政 姚卫东
机构地区 北京信息控制研究所
出处 《军民两用技术与产品》 2015年第19期58-60,共3页 Dual Use Technologies & Products
关键词 推荐系统 协同过滤 网络日志分析 军工 Recommender system, Collaborative filtering algorithm, Web log analysis, Military industry
分类号 TP311.5 [自动化与计算机技术—计算机软件与理论]
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参考文献6

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军民两用技术与产品
2015年 第19期

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