METHOD FOR TARGETING WEB ADVERTISEMENT CLICKERS BASED ON CLICK PATTERN BY USING A COLLABORATIVE FILTERING SYSTEM WITH NEURAL NETWORKS AND SYSTEM THEREOF

摘要

An advertisement recommendation method and system which can collect advertisement click information, calculate a relevance value between a plurality of advertisements, and recommend an advertisement having a greater relevance value with respect to previously clicked advertisement is provided. The advertisement recommendation method includes the steps of: collecting advertisement click information about each of a plurality of advertisements; calculating a relevance value between the plurality of advertisements by using the advertisement click information; and recommending a predetermined advertisement having a greater relevance value with respect to previously clicked advertisement by using the relevance value between the plurality of advertisements. Specifically, since an advertisement recommendation method and system which can calculate a relevance value between a plurality of advertisements by using advertisement click information, and recommend an advertisement having a greater relevance value with respect to previously clicked advertisement, it is possible to improve advertising effects.