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随着互联网技术不断发展,电子商务网站成为了社会热门的“香饽饽”。如何在庞大的互联网数据中分析找出有用的重要信息也成为大家探讨的热门,这也是我们利用计算机技术进行站点用户行为分析有非常巨大的现实意义。
With the continuous development of Internet technology, e-commerce site has become a popular social “fragrance 饽 饽 ”. How to analyze and find useful and important information in huge internet data has also become a hot topic for everyone to explore. This is also a great practical significance for us to conduct site user behavior analysis by using computer technology.