In the present competitive environment, organisations need to retain existing high-value customers to remain competitive. One technique that can be used to achieve greater loyalty from customers is to personalise services provided. Such customisation of services not only helps customers, by satisfying their needs, but also results in customer loyalty. Electronic commerce sites provide organisations with a lot of information about their customers - information that can be used to personalise services to customers. Web usage mining is a new discipline that addresses these needs, whose key principles are presented in this paper. They include different types of online data, novel kinds of domain knowledge, as well as the discovery of marketing intelligence itself. All concepts have been incorporated within a commercial product called EasyMiner and real-world experiments have been carried out.
|Title of host publication||Unknown Host Publication|
|Number of pages||14|
|Publication status||Accepted/In press - 4 May 1999|
|Event||UNICOM 1999 - London|
Duration: 4 May 1999 → …
|Period||4/05/99 → …|
- Data mining