基于Hadoop的关联规则算法在电子商务中的应用

近年来,电子商务的快速发展,给用户带来了极大的便利,同时对电子商务网站能否提供快速有效的服务提出了很大考验。电子商务推荐系统的提出有效地解决了这一问题,受到广泛关注。本文简要介绍一种电子商务推荐系统,然后以Apriori算法为基础进行关联规则数据挖掘,并在Hadoop平台上重写分布式Apriori算法,重点研究基于Hadoop的关联规则算法在海量数据下能否快速有效地发现关联数据,及时向用户推荐相关商品,防止客户流失,增加销售利润。

Application of Association Rules Algorithm Based on Hadoop in E-commerce

In recent years, the rapid development of E-commerce gives the customer a great convenience, and puts forward the serious test for E-commerce corporations. E-commerce recommendations effectively solve the problem, and attract the attention. This people roduces a kind of E-commerce compmendations briefly,and then ,conducts data mining with the Apriori algorithm, and rewrites distributed Apriori algorithm in Hadoop. The key research is whether association algorithm based on Hadoop would find associated data fast, timely refer users to relevant commodity, prevent loss of customers, and to increase the sales profit.