A recommendation method includes retrieving content consumption data including content consumed and content not consumed. Based on the content consumption data, identifying a first piece of content not consumed. A first feature of the first piece of content related to negative consumption of the first piece of content is determined. A first system is used to revise the first feature to a second feature. A second piece of content including the second feature is provided to an electronic device. The second piece of content is a revised instance of the first piece of content.

Various embodiments provide advertising that is aware of coupon states and user states. An advertisement to be presented to a user is determined. One of multiple versions of the advertisement is generated based at least in part on a state associated with the user and/or a state associated with a digital coupon for an item. One or more of the versions present the digital coupon. Data encoding the generated version of the advertisement is sent to a client associated with the user.

Systems, methods, and computer program products are provided for auctioning advertising inventory for various applications, including for mobile applications. In various embodiments, a request for an advertisement is received at a first server from a client device. The request is sent, from the first server, to two or more remote servers. A bid value and an asset to be presented at the client device is received from each of the two or more remote servers. A highest bid is determined from the received bid values. Whether the asset associated with the highest bid is compliant based on the request is determined. When the asset is determined to be compliant, the asset is sent to the client device.

A system and method is presented for product substantiation and promotion redemption. A purchased product list is transmitted from a retail store system to a promotion analysis server along with a user identifier. The promotion analysis server identifies promotions available to the user, and then considers whether the benefits under the promotions are still available to the user. Discounts for available promotions related to the purchased product list are calculated and transmitted to the retail store system for deduction from the transactions. An approved product list can be provided that filters the purchased product list before transmittal. The approved product list can include promotions from a plurality of programs.

A technique for dynamically adjusting a digital advertising campaign during an active campaign flight is discussed. Using feedback from a digital survey over an exposed audience of user populations, brand lift may be calculated on a per ad creative and/or per site basis. User characteristics derived from content consumption patterns may be used to optimize ongoing campaigns and formulate target audiences and target creative formats for new campaigns.

Mechanisms are provided to implement a brand personality inference engine. The mechanisms receive crowdsource information and extract features associated with a brand from the crowdsource information. The crowdsource information comprises natural language content submitted by a plurality of providers to a crowdsource information source. The mechanisms analyze features associated with the brand in accordance with a brand personality model configured to predict a brand personality for the brand based on the features associated with the brand. The mechanisms generate an inferred brand personality data structure, representing a perceived brand personality of providers providing the crowdsource information, and output an output indicating aspects of the perceived brand personality based on the inferred brand personality data structure.

An example operation includes one or more of retrieving a first amount of energy, by an originating transport, of a minimum amount of energy on a target transport, based on an expended energy by the originating transport to reach a meeting location, provide a needed service, and an estimated expended energy by the originating transport to return to an original location, and retrieving a second amount of energy, by the originating transport, of the minimum amount of energy on the target transport, based on a factor related to providing the service, wherein the factor is greater than the expended energy and the estimated expended energy.

A data processing device system may be configured by a program at least to determine particular content associated with a first indication of observable presentation of the visual indicator received from a first device system; store in response to determining that the particular content is associated with the received first indication, a recorded-presentation indication indicating that the particular content or information associated therewith has been device-presented; determine that the particular content is associated with a second indication of a user interaction with the visual indicator received from a second device system; and store in response to determining that the particular content is associated with the received second indication, an indication that the particular content has been interacted with by a user.

A method for associating a device with a user including the action of receiving from a first computerized device operated by a first user a first data content including a plurality of first data items, including clickstream data. An action of setting rules for computing scores representing similarity between a first data item received from the first computerized device and a second data item received from a second computerized device. An action of collecting the plurality of the first data items and the second data items, from the plurality of computerized devices of the plurality of computerized devices. An action of computing the score representing similarity between at least one pair of computerized devices respectively providing the first and the second data items. And an action of determining that the pair of computerized devices are operated by a same user if the score reaches a predetermined value.

This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.