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The Research and Application of Purchase Amount Based User-KNN Algorithm on Cloud Platform in Coal Sales System

机译:基于利用基于用户Knn算法在煤炭销售系统中的云平台的研究与应用

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With the highly development of internet e-commerce, coal shopping on-line is becoming a popular trend. With the increase of purchase data, every big coal industries hope to recommend the products which the customers will be interested with through analyzing the purchase history data. In coal system, purchase data based near neighbor algorithm is applied widely. However, with the increasing of huge big scale consuming records, traditional algorithm could complete recommendation work real-time and effectively. In this paper, focusing on huge scale coal consuming records, we propose cloud platform based user neighbor algorithm, and this algorithm is based on MapReduce distribute framework. It can complete the recommendation work distributed. Through the experimental results, we prove that the algorithm we propose has good efficiency and high scalability.
机译:随着互联网电子商务的高度发展,煤炭购物在线正在成为一种流行的趋势。随着购买数据的增加,每种大型煤炭产业希望通过分析购买历史数据来推荐客户对客户感兴趣的产品。在煤炭系统中,基于近邻算法的购买数据广泛应用。然而,随着巨大的大规模消耗记录的增加,传统的算法可以实时和有效地完成推荐工作。在本文中,专注于庞大的煤炭消耗记录,我们提出基于云平台的用户邻算法,而该算法基于MapReduce分布框架。它可以完成分布的推荐工作。通过实验结果,我们证明了我们提出的算法具有良好的效率和高可扩展性。

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