【摘要】 本文主要论述了个性化 Web 推荐构成,提出了基于 Web 挖掘的个性化推荐服务研究中的用户聚类、Web 页面聚类、n 元预测模型及页面加权算法。利用这些算法得到的个性化信息可以准确把握用户兴趣模式并为用户提供“一对一”的具备自适应性的智能个性化服务。更多还原

【Abstract】 This paper mainly discusses the structure of Web recommendation based on personalization and provides many algorithms used in personalization service such as customer clustering,Web pages clustering,n-gram prediction model et al.With these algorithms we can exactly hold user interests model and improve the efficiency of the network information supply dramatically.更多还原