关键词: Web挖掘, 个性化推荐, 关联规则

Abstract: Based on Web data mining, a Web access transaction model WTM and personal recommendation algorithm were presented. The object of this algorithm was to recommend Web resources to user according to user’s access pattern. It matched user’s active access sequence with frequent item sets made by association rules in real time and offered different resources to different users. During this process algorithm did not need to generate all association rules and thus improves the efficiency of recommendation. Finally, a system structure of Web education environment based on the WTM and algorithm was brought forward.

Key words: Web mining, personal recommendation, association rule