Abstract: In a web page advertising method with a learning mechanism, a plurality of advertisement files are transformed to vector equations in advance. Content of a web page file that is being displayed is analyzed and transformed to a vector equation in real time. An advertisement search conditional set is determined according to the analyzed web page file. The advertisement files are subjected to a similarity analysis using vector computations so as to select at least one advertisement file that has a high correlation to the overall concept of the content of the web page. Adjustment and training with the advertisement file are conducted through analyzing actions of a user, thereby increasing considerably the click rate of the advertisement file and achieving full utilization of advertising resources. An advertising agent employing the web page advertising method purchases advertising spaces from a medium and bills advertisers on a pay-per-click basis.