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Study on E-Commerce Recommendation System Based on Web Mining

机译:基于Web挖掘的电子商务推荐系统研究

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through the in-depth research of the existing ecommerce systems and data mining technologies, this paper presents a design of e-commerce recommendation system based on Web mining. This design can achieve the separation of offline and online modules, to meet the massive data requirements, which greatly improves the personalized recommendation service capabilities and timeliness. At the same time, it also integrates Web data mining technology to provide users with high-quality personalized recommendation services in the case of less data used or relatively frequent changes in Web site contents.
机译:通过对现有电子商务系统和数据挖掘技术的深入研究,提出了一种基于Web挖掘的电子商务推荐系统设计。这种设计可以实现离线和在线模块的分离,满足海量数据需求,大大提高了个性化推荐服务的能力和及时性。同时,它还集成了Web数据挖掘技术,以在数据使用量较少或网站内容更改相对频繁的情况下为用户提供高质量的个性化推荐服务。

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