Web日志挖掘技术及其在电子商务中的应用

近年来,由于电子商务、电子图书馆、远程教育等的应用,对Web站点设计和功能提出了更高的要求, 要求Web站点具有智能性。介绍了目前世界上两种主要的Web曰志挖掘技术(基于Web事务和基于数据立方体),同时,提出了基于Web目志挖掘技术的应用,主要讨论了站点的在线推荐和用户自适应的Web站点设计问题,在此基础上简单介绍了一个Web日志挖掘系统原型AdaptiveWeb。它可创建用户自适应的Web站点,使其具有部分智能。

Study of Technology of Web Log Mining and Application in the E-commerce

As the application of E-Commerce, E-Library and Distance-Education, more requesting for the designation and performance of websites, and request the websites have intelligence are brought forward. Two main technology of Web Log mining(based on transaction and based on data cube) at present in the world are first introduced; The technology of application based on Web Log mining is proposed. The online-recommendation of websites and user self-adaptive websites designation are discussed. A Web Log mining system prototype-AdaptiveWeb is simply introduced on this base. It can create self-adaptive websites, it have fractional intelligence.