Abstract: One or more computing devices, systems, and/or methods for selecting a primary language are provided. For example, a profile of a device may be generated comprising indications of a plurality of content items transmitted to the device and/or indications of a plurality of web pages associated with the plurality of content items. The profile may be analyzed to determine that a first language is associated with a plurality of items of the profile and the plurality of items comprises more than a threshold amount of items. The first language may be selected as a primary language of the device. A request for content may be received. A content item, associated with the first language, may be selected based upon the selection of the first language as the primary language. The content item may be transmitted to the device.

Abstract: One or more computing devices, systems, and/or methods for selecting a primary language are provided. For example, a profile of a device may be generated comprising indications of a plurality of content items transmitted to the device and/or indications of a plurality of web pages associated with the plurality of content items. The profile may be analyzed to determine that a first language is associated with a plurality of items of the profile and the plurality of items comprises more than a threshold amount of items. The first language may be selected as a primary language of the device. A request for content may be received. A content item, associated with the first language, may be selected based upon the selection of the first language as the primary language. The content item may be transmitted to the device.

Abstract: A method of generating an aggregated forecasting landscape for a particular advertiser's bidded term constructs standardized forecasting landscapes for each marketplace, rescales, by the advertiser's clickability in the respective marketplace, each of the standardized landscapes corresponding to the previous appearance of the advertiser's ad in that marketplace and whose appearance was attributed to the bidded term, and adds together the rescaled landscapes, thereby giving the advertiser a more accurate representation of how many total clicks he can expect for his advertisement as a function of how much he is willing/able to pay. In particular, estimation variance is reduced by introducing rank into the construction of the standardized landscapes, which increases the accuracy of the calculations.

Abstract: A method of generating an aggregated forecasting landscape for a particular advertiser's bidded term constructs standardized forecasting landscapes for each marketplace, rescales, by the advertiser's clickability in the respective marketplace, each of the standardized landscapes corresponding to the previous appearance of the advertiser's ad in that marketplace and whose appearance was attributed to the bidded term, and adds together the rescaled landscapes, thereby giving the advertiser a more accurate representation of how many total clicks he can expect for his advertisement as a function of how much he is willing/able to pay. In particular, estimation variance is reduced by introducing rank into the construction of the standardized landscapes, which increases the accuracy of the calculations.

Abstract: The present invention is directed towards systems and methods for generating a forecasted bid amount for a keyword in order to display one or more advertisements in response to a search request that includes the keyword at a given position within a ranked list of advertisements. The method may comprise receiving an advertiser request specifying a keyword, an advertisement group, and a position within a ranked list of advertisements, identifying one or more advertisements displayed in response to the keyword at the advertiser specified position and retrieving a bid amount and a quality score associated with the one or more identified advertisements with respect to the advertiser specified keyword.