13. A server for determining a type of landing page to which to transfer web searchers that enter a particular query, each query related to a landing page that links from an advertisement, the server comprising: a landing page classifier to extract content of each of a plurality of landing pages to be classified, the content comprising words of the landing page; extract text from the content; establish a feature space based on the extracted text, representing the extracted landing page; reduce the feature space by applying a supervised attribute selection technique; and conduct classification training with a computer under a machine learning model using a learning algorithm; and classify a target landing page as one of a plurality of landing page classes; a query classifier coupled with the landing page classifier to determine characteristics of one or more query such that the one or more query is associated with the target landing page based on the class of the landing page being related to the characteristics of the one or more query; and a processor coupled with the landing page and query classifiers to choose whether to retain or to change classification of the target landing page associated with the one or more query based on relative average conversion rates of advertisements on a plurality of previously-classified landing pages when associated with the characteristics of the one or more query, wherein the previously-classified landing pages are different than the landing page, and wherein relative average conversion rates comprise average conversion rates that result for respective classified type of landing page over a period of time.
16. The server of claim 13 , wherein the classifier comprises a web crawler to extract hypertext markup language (HTML) content and a page rendering program to extract text from the HTML content of each landing page to be classified, wherein the machine learning model comprises a support vector machine model, and wherein the learning algorithm comprises a sequential minimal optimization (SMO) algorithm of the support vector machine model.