一种基于农产品推荐的混合协同过滤方法的设计
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摘要
本文在对农产品电子商务推荐系统的相关技术进行研究的基础上,提出了一种显隐式结合的农产品推荐混合协同过滤方法。该方法对传统的以客户主观评分为依据的协同过滤方法进行改进,在主观评分的基础上同时结合客户浏览网站页面的时间来查找用户的最近邻居。经验证,该方法可以有效提高推荐系统的精确性,从而提高农产品的推荐质量。
This article proposes an explicit with implicit combined hybrid collaborative filtering method based on the study of the relevant technology of the agriculture products electronic commerce recommendation system.The method improves the traditional collaborative filtering method based on client subjective ratings, on the basis of the subjective ratings at the same time combining the client time in browsing web page to find the user's nearest neighbors.To be verified, the method can improve the accuracy of recommending system, so as to improve the quality of the recommendation of agriculture products.
This article proposes an explicit with implicit combined hybrid collaborative filtering method based on the study of the relevant technology of the agriculture products electronic commerce recommendation system.The method improves the traditional collaborative filtering method based on client subjective ratings, on the basis of the subjective ratings at the same time combining the client time in browsing web page to find the user's nearest neighbors.To be verified, the method can improve the accuracy of recommending system, so as to improve the quality of the recommendation of agriculture products.
引文
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[2]侯振兴,崔虹燕.数字图书馆个性化主动信息服务模型研究[J].情报科学,2013,31(3):35-39.
[3]王国霞,刘贺平.个性化推荐系统综述[J].计算机工程与应用,2012,(7):66-68.
[4]余力,刘鲁.电子商务个性化推荐研究[J].计算机集成制造系统,2004,(10):1306-1309.
[5]张娜.电子商务环境下的个性化信息推荐服务及应用研究[D].合肥:合肥工业大学,2007.
[6]CYRUS SHAHABF,FARNOUSH BANAEI,KASHANI.An Accurate and Scalable Web-based Recomm endation System.Grid and Cooperative Computing:Second International Workshop,2003.