Abstract: A system is described for generating smart advertisements based on a dynamic file and a configuration file over a network. The smart advertisements may adapt to a specific user profile information and available advertising campaign information. The system may select a deal associated with a smart advertisement campaign based on user profile data and create a dynamic file containing specific information related to the deal. The configuration file may contain advertiser specific graphical information to create a tailored and uniform look and feel for each smart advertisement generated for a particular advertiser. The system may select an appropriate graphical template relating to the smart advertisement campaign and create the smart advertisement by applying the dynamic file and the configuration file to the graphical template to create an advertisement tailored to both the user and the advertiser.

Abstract: Methods for selecting one or more advertisements based on previously captured relevance data to serve to a client system requesting a primary webpage is provided. The client displays a referring webpage having a hyperlink to the primary webpage. Upon selection of the hyperlink, the client sends a request to a content server storing the primary webpage. The content server classifies the primary webpage for content and retrieves persistent relevance information, possibly including a referrer of the primary webpage comprising a URL address of the referring webpage, a listing of other recently visited webpages, a listing of any bid phrases from previously displayed advertisements, and a listing of recent click data. The content server sends the primary webpage to the client, which includes an advertisement server request. The transaction between the content server and the advertisement server includes persistence relevance information to select advertisements to serve to the client.

Abstract: A system for determining associations between base content and relevant content and for publishing the base content and relevant content on a client browser. The system includes a parsing module configured to parse the base content to form parsed base content; a unit-dictionary module including a plurality of query units; a unit-extraction module configured to extract query units included in the unit dictionary from the parsed base content, wherein the query units extracted from the base content are referred to as the extracted-query units; a unit-ranking module configured to rank the extracted-query units based on at least one of relevance scores and revenue-generation amounts for the query units; and a unit-matching module configured to generate at least one association between the base content and the relevant content based on whether the extracted-query units and at least one of query units and keywords associated with the relevant content are the same.

Abstract: A system is described for generating smart advertisements based on a dynamic file and a configuration file over a network. The smart advertisements may adapt to a specific user profile information and available advertising campaign information. The system may select a deal associated with a smart advertisement campaign based on user profile data and create a dynamic file containing specific information related to the deal. The configuration file may contain advertiser specific graphical information to create a tailored and uniform look and feel for each smart advertisement generated for a particular advertiser. The system may select an appropriate graphical template relating to the smart advertisement campaign and create the smart advertisement by applying the dynamic file and the configuration file to the graphical template to create an advertisement tailored to both the user and the advertiser.

Abstract: A system is described for generating smart advertisements to display to a user over a network. The smart advertisements may adapt to specific user profile information and available advertising campaign information. The system may select a smart advertisement campaign and one or more deals associated with the smart advertisement campaign that match the user profile. The system may select an appropriate graphical component relating to the smart advertisement campaign and create the smart advertisement by applying the user profile data and deal attributes to the graphical component and display the specific smart advertisement to the user.

Abstract: A system is described for optimizing the performance of smart advertisements generated over a network for display to a user. The smart advertisements may adapt to specific user profile information and available advertising campaign information. The system may consume log data relating to previously displayed smart advertisements and compare the performance rates of the smart advertisements to determine relationships between controllable variables and the performance rates. The system may manipulate the controllable variables based on the relationships to optimize the performance of smart advertisements.

Abstract: A system for determining associations between base content and relevant content and for publishing the base content and relevant content on a client browser. The system includes a parsing module configured to parse the base content to form parsed base content; a unit-dictionary module including a plurality of query units; a unit-extraction module configured to extract query units included in the unit dictionary from the parsed base content, wherein the query units extracted from the base content are referred to as the extracted-query units; a unit-ranking module configured to rank the extracted-query units based on at least one of relevance scores and revenue-generation amounts for the query units; and a unit-matching module configured to generate at least one association between the base content and the relevant content based on whether the extracted-query units and at least one of query units and keywords associated with the relevant content are the same.