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为了弥补传统的电子商务系统在智能性和扩展性等方面的不足,我们提出了一种基于Web服务的产品推荐系统,该系统能够从电子商务系统的交易日志中挖掘商品的关联规则,并动态地向用户提供产品推荐服务。
In order to make up for the shortcomings of the traditional e-commerce systems in terms of intelligence and scalability, we propose a product recommendation system based on web services, which can mine the association rules of commodities from the transaction log of e-commerce system and dynamically To provide users with product recommendation services.