A method, system, and non-transitory computer readable medium for an advertisement distribution system, include calculating an interest for each advertisement of an advertisement group, assigning each advertisement a user engagement value based on the interest, conducting an auction to determine winning advertisements based on advertiser parameters received from a database and the user engagement value of each of the plurality of advertisements, and dynamically populating an unviewed portion of the web page with the advertisement group of the winning advertisements.

Methods and apparatus for determining a unique audience exposed to media while reducing memory resources of a computing device are disclosed herein. An example apparatus includes means for logging a plurality of impressions based on impression requests from a plurality of client devices, the plurality of impressions corresponding to media accessed at the client devices; means for obtaining counts, the obtaining means to: obtain a count of demographic impressions logged by a database proprietor; and obtain a count of registered users of the database proprietor exposed to the media; and means for determining a unique audience size by: multiplying a count of the plurality of impressions by a square of the count of the registered users to generate a product; dividing the product by the count of the demographic impressions to generate a quotient; and determining the unique audience size based on a square root of the quotient.

The described technology is directed towards a computer program such as a browser that outputs augmented objects. The program is coupled to obtain object-related recognizer data of an object, communicate the object-related recognizer data to a registration service, receive augmentation data from the recognizer service and output at least part of the augmentation data in association with the object as an augmented object. Aspects include obtaining object-related recognizer data of an object, communicating the object-related recognizer data to a registration service, receiving augmentation data from the recognizer service, and outputting at least part of the augmentation data in association with the object as an augmented object.

A media presentation and distribution system (MPDS) that handles rules-based presentation of non-programming media items, receives a user request (which includes user parameters) for delivery of programming media content at a first client device and transmits a media stream that includes the programming media content with a plurality of identifiers present with the programming media content. The MPDS further receives a request that includes one or more user preferences from the first client device, based on a detection of the plurality of identifiers. The MPDS further determines a set of non-programming media items for delivery to first client device based on the user parameters, targeting parameters, goals associated with a non-programming media item. The MPDS further generates rules and constraints information for non-programming media items and instructs a delivery of the set of non-programming media items and the rules and constraints information to first client device.

The present disclosure is directed toward systems, computer-readable media, and methods that automatically modify a pacing plan for a digital content distribution campaign, which provides digital content to client computing devices based on the pacing plan. For instance, the systems disclosed herein can automatically detect when a service error causes a digital content distribution campaign to deviate from the pacing plan. In response, the disclosed systems can generate a new pacing plan based on the actual allocated budget at the conclusion of the service error. In particular, the disclosed systems can generate a new pacing plan that enables the digital content distribution campaign to efficiently maximize the remaining resources allocated to the digital content distribution campaign.

The present disclosure is directed to systems and methods for programmatic digital advertisements that are personalized and uniquely targeted to individually-identified consumers via non-personal, but individually accessed devices. The consumer accessing a non-personal device is identified and data cookie pertaining to the user is created and sent to third-party programmatic advertising exchanges for the use in real time bidding, private marketplace deals, or programmatic guaranteed sales. This allows for personalized digital advertisements to be delivered to a specific user accessing a non-personal device.

Technologies for determining performance gains for content item delivery based on modifications to content item selection parameters are provided. The disclosed techniques include implementing a multi-objective optimization model for content item selection using a value for a parameter. The model generates a first plurality of scores and a first ranking for content items. Subset of content items is selected for delivery based on the first ranking. New values for the parameter are identified and for each new value, the content item selection event is replayed. A second plurality of scores and a second ranking is generated for the content items, where the second ranking is different from the first ranking. A third plurality of scores and a third ranking is generated where the third ranking matches the second ranking. A set of gains is calculated for each new value, where each gain corresponds to a different objective of the model.

A method for operating a server system. The method includes: receiving, by the server system, a request for a plurality of assets in a first format to fill an ad unit, in an application executing on a mobile device, with a native advertisement; receiving, by the server system and from an ad source over a network, ad content in a second format; converting, by a converter of the server system, the ad content in the second format to the plurality of assets in the first format; and sending, by the server system, the plurality of assets to the application, where the application fills the ad unit with the native advertisement including at least one of the plurality of assets.

Methods, systems, and apparatus for content item auction bidding. In one aspect, a method includes receiving a request for a content item, the request including request feature values and a device identifier, the device identifier being included in a remarketing list; obtaining a predicted performance measure for a remarketing content item associated with the remarketing list based on a first timestamp and a second timestamp, the first timestamp being included in the remarketing list and associated with the device identifier included in the request, and the second timestamp being for the request; determining a bid adjustment value based on the first timestamp and the second timestamp; obtaining a remarketing bid for the remarketing content item, the remarketing bid specifying an amount a content item provider is willing to pay for distribution of the remarketing content item; and adjusting the remarketing bid based on the bid adjustment value.

A dynamically regulated advertising delivery control system. A campaign is operated by sending bids to an exchange responsive to receiving bid requests from the exchange, each bid request representing an opportunity to expose a browser to content. Won bid notifications are received from the exchange and exposure notifications are received from exposed browsers. Failed exposures are detected by detecting won bid notification identifiers without corresponding exposure notification identifiers. Responsive to the failed exposures exceeding an upper limit, the campaign is operated in a throttled mode by sending bids to the exchange in response to a fraction of the suitable bid requests received from the exchange and ignoring some suitable bid requests. Responsive to detecting successful exposures in the throttled mode, the operation of the campaign is dynamically regulated by increasing the fraction.