Study on the user's interested strength level algorithm in intelligent E-Commerce

摘要

Intelligent E-Commerce, which can provide personalized services to customers, is an inevitable tendency of future E-Commerce system. This paper introduces the methods of tracing user's browsing action and forecasting users' shopping action. In order to foresee user's shopping action, when user is applying for a web page at browser, the query string based on hierarchical product directory, which is presented to database server, is recorded. When these query strings have been processed with certain algorithm, user's interested strength level to certain product can be obtained.