【摘要】 电子商务的发展对网络服务的多元化提出了更高的要求。WebsiteMaster不仅应该考虑为用户提供内容丰富的服务 ,还应兼顾用户个性化服务的请求。利用遗传算法的理论和方法 ,讨论了一种在WWW上根据用户最近访问的一组页面挖掘出表达用户兴趣信息关联的GMPWS模型、算法及其相应的改进方法 ,并给出了相应的编码方式。在此基础上进行了实例验证和分析更多还原

【Abstract】 With the development of electronic commerce, higher personalized demands might be addressed by different users in the future. As a Website master, he should not only offer abundant contents, but also consider personalized services for different users, so that they could obtain interesting profiles for themselves. In this paper, on the basis of genetic algorithm, a GMPWS prototype and modified GA method are brought forward to mine associated rules from webpages which a user ever visited. Finally, the model and algorithm are verified with some examples.\;更多还原