In data mining, association rule is a popular method for discovering interesting relations between variables in large databases. Association rule mining helps to find out the frequent interesting pattern for internet user. In data mining, Apriori is a classic algorithm for learning association rules. Apriori is designed to find the frequent patterns of interest. The authors' proposed system can target the interest of consumer for improve the scalability of web advertising. In this paper, they find out the frequent patterns of interestingness of user and it will support add publisher's to publish the ads according to the preferences of user.