Abstract:
A first candidate content item and a second candidate content item are identified. The first candidate content item has a first candidate bid value and the second candidate content item has a second candidate bid value. Subject matter of the first candidate content item is identified and compared with item information of an online marketplace to determine a similarity metric. Based on the similarity metric, the first candidate content item is determined to correspond to the online marketplace. Historical competing bid values from historical online auctions are retrieved. A distribution function is determined corresponding to the second candidate bid value. A subsidy value to apply to the first candidate bid value is provided. A combination of the first candidate bid value and the subsidy value is identified as greater than or equal to the second candidate bid value. The first candidate content item is selected for display.
Abstract:
Systems and methods of the present disclosure can provide an improved user experience on client devices selecting to receive context-based third-party content by reducing the number of third-party content items presented for display on such client devices. A data processing system can be configured to employ an auction mechanism with selection criterion thresholds (such as minimum bid values) that result, when used in auctions, in enforcing a limit on the amount of third-party content presented for display on client devices that have selected to receive context-based third-party content. The selection criterion thresholds can result, when used in auctions, in enforcing minimum revenues for publishers. The selection criterion thresholds can be determined offline based on historical statistical parameters.
Abstract:
Systems and methods for determining bid adjustments that may result in lower costs and/or increased benefit to content providers, and providing recommendations for adjusting a bidding strategy accordingly, are disclosed. One method includes determining a first marginal cost associated with a first set of one or more of a plurality of auctions for presentation of content items within one or more resources. The marginal costs represents a cost to a content provider associated with an additional action performed in association with the content items presented within the resources. The method further includes determining a second marginal cost associated with a second set of one or more of the plurality of auctions. The method further includes determining whether a difference between the first marginal cost and the second marginal cost exceeds a threshold, and generating a recommendation to adjust a bidding strategy in response to determining the difference exceeds the threshold.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for ranking content items. In one aspect, a method includes identifying, for a content item, a bid value specifying an amount a content item provider is willing to pay for user interaction with the content item. A predicted performance measure is identified for the content item. The predicted performance measure is adjusted based on a weighting factor for the content item. The weighting factor for the content item is indicative of confidence that the predicted performance measure will match an actual performance measure for the content item and can be different than a weighting factor for another content item identified for inclusion in a ranking with the content item. A rank score is determined for the content item using the bid value and adjusted predicted performance measure. The content item is provided based on the rank score.
Abstract:
Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for ranking content. A request for content is received. Eligible content items are identified, including a first eligible content item for which an uncertainty level of an associated expected click-through rate is above a predefined threshold. A subset of the eligible content items is evaluated, including the first eligible content item including producing a score. The score is a product of an associated bid and click-through rate for a given eligible content item. Producing the score includes adjusting a product of a bid times an expected click-through rate for the first eligible content item by a value of learning that represents a value for exploring the first eligible content item as a response to the request. The subset of eligible content items is ranked based on the produced scores.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content are disclosed. In one aspect, a method includes identifying a sponsor value that was used to select a content item for presentation in the first presentation position. The sponsor value can be determined based on a current bid associated with the content item and one or more previous bids that were previously associated with the content item. A first lower value of the sponsor value that will result in the content item being presented at a different presentation position of the resource is identified. A price to be charged for presentation of the content item is determined based on a bid value corresponding to the sponsor value and a difference in performance of the content item at the first presentation position and the different presentation position.