关键词: 关联规则, Web个性化, 在线推荐

Abstract: In order to solve the shortcomings of association rule mining algorithms in Web personalization，especially that it can not reflect the change of user’s interest in time，this paper proposes an algorithm for dynamic adaptive Web site based on association rule mining（DPARM）.DPARM combines both recommendation and user profile updating，it updates the usage profiles of customers as soon as possible in order to make the personalization system can reflect the diversions of customers’ interest.Experiments have been done with the usage data of http：//www.cs.depaul.edu，and the experiments show that DPARM is effective and practical.

Key words: association rule, Web personalization, online recommendation