Abstract: In one embodiment, an impression to be displayed in a placement of a web page is selected from candidate impressions that may be displayed in the placement. The candidate impression may be chosen based on behavioral data and a placement identifier particularly identifying the placement. The behavioral data may include categories of websites visited by an end-user on the client computer. The candidate impressions may be in learning modes, and the impression displayed in the placement may be selected based on its learning mode and revenue generation capability.

Abstract: In one embodiment, client-side programs are employed to observe the navigation of consumers to various websites. Addresses of web pages viewed by consumers may be used to fetch the web pages. A fetched web page may be parsed for one or more keywords. The relevance of the web page to a keyword may be ranked according to consumer preferences, which may relate to consumer interaction with the web page. Web pages and their ranking information may be stored in an index. The index may be consulted to find links to web pages relevant to a keyword employed in a search request.

Abstract: A method of providing content from an internet server to an internet user based on the user's internet navigation history. The method begins with the step of installing a profile decoder, including a profile library, on the server. The profile decoder maps server content to content categories contained in the profile library. The server then receives a communication from a user then in internet communication with the server, at least a portion of that communication including an encrypted summary of user navigation history. The server then processes the user communication in the profile decoder to identify user content preferences by matching user content preferences with available server content, employing the profile server. Finally, the server provides content to the user based on the user's identified preferences.