1. A computer-implemented method 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 method comprising: extracting, by a computer, content of each of a plurality of landing pages to be classified by a web crawler of a classifier, the content comprising words of the landing page; extracting, by a computer, text from the content by a page rendering program of the classifier; establishing, by a computer, a feature space based on the extracted text, representing the extracted landing page; reducing, by a computer, the feature space by applying a supervised attribute selection technique to the classifier; and training, by a computer, a machine learning model of the classifier using a learning algorithm; classifying, by a computer, a target landing page as one of a plurality of landing page classes with the classifier trained by the machine learning model; determining, by a computer, characteristics of one or more query; associating the target landing page with the one or more query based on the class of the landing page being related to the characteristics of the one or more query; and choosing, by a computer, 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.