Abstract:
Instead of accepting competing ads and using an arbitration function (e.g., an auction) to choose winning ads to be served with a document, sets of ads (perhaps having different characteristics) can be generated, and an arbitration function can be used to select the winning set of ads. Such arbitrations on sets of ads can consider how ads, search results, colors, positions, fonts, etc., all interact with each other and affect the usefulness of the sets of ads to advertisers, end users, document publishers, and/or an ad serving entity.
Abstract:
A system highlights search terms in documents distributed over a network. The system generates a search query that includes a search term and, in response to the search query, receives a list of one or more references to documents in the network. The system receives selection of one of the references and retrieves a document that corresponds to the selected reference. The system then highlights the search term in the retrieved document.
Abstract:
Instead of accepting competing ads and using an arbitration function (e.g., an auction) to choose winning ads to be served with a document, sets of ads (perhaps having different characteristics) can be generated, and an arbitration function can be used to select the winning set of ads. Such arbitrations on sets of ads can consider how ads, search results, colors, positions, fonts, etc., all interact with each other and affect the usefulness of the sets of ads to advertisers, end users, document publishers, and/or an ad serving entity.
Abstract:
A system highlights search terms in documents distributed over a network. The system generates a search query that includes a search term and, in response to the search query, receives a list of one or more references to documents in the network. The system receives selection of one of the references and retrieves a document that corresponds to the selected reference. The system then highlights the search term in the retrieved document.