An advertisement consideration calculating system according to an embodiment of the present disclosure includes: a receiving section that receives location information and time information of a moving body; and a determining section that determines a consideration for advertisement posting on the moving body on the basis of the location information and the time information received by the receiving section.

Machine-learning based multi-step engagement strategy modification is described. Rather than rely heavily on human involvement to manage content delivery over the course of a campaign, the described learning-based engagement system modifies a multi-step engagement strategy, originally created by an engagement-system user, by leveraging machine-learning models. In particular, these leveraged machine-learning models are trained using data describing user interactions with delivered content as those interactions occur over the course of the campaign. Initially, the learning-based engagement system obtains a multi-step engagement strategy created by an engagement-system user. As the multi-step engagement strategy is deployed, the learning-based engagement system randomly adjusts aspects of the sequence of deliveries for some users. Based on data describing the interactions of recipients with deliveries served according to both the user-created and random multi-step engagement strategies, the machine-learning models generate a modified multi-step engagement strategy.

A profit redistribution device, profit redistribution method, program storage medium, profit redistribution system, content providing device, content providing method, program storage media, and content providing system are disclosed. Profit redistribution processing is performed according to the accumulated points proportionate to the number of times the content with a commercial video is provided to a client PC. Thus, a fair profit redistribution can be easily performed. A preset content with a commercial video is provided to a user when requested from the client PC, and it is possible to provide advertisement information without the user being aware of the commercial.

Systems and methods are disclosed that enable multidimensional privacy control for consumers, to more effectively control their privacy, even while accepting some targeted marketing that provides time-savings, monetary savings, and other benefits. Agreements may involve smart contracts implemented on a blockchain, to provide time-limited access to marketing data, such as purchase histories recorded in receipts held by a digital wallet. The access may be specified in differing tiers of visibility, with certain classes of information withheld, and different types of recipients allowed or blocked. This permits consumers to intelligently select a trade-off between sharing information and receiving value resulting from that sharing, with the consumers in control of the specific type of information shared, and the types of entities that my receive particular information. Thus, privacy may be controlled in a multidimensional manner that is advantageous to consumers.

A method, computer-readable storage device and apparatus for transmitting frequency division multiplexed targeted in-store advertisements are disclosed. For example, the method receives a plurality of advertisements from a third party entity, wherein each one of the plurality of advertisements targets one of a plurality of different demographics of customers for a retailer, frequency division multiplexes the plurality of advertisements into the electronic media package, identifies each one of the plurality of different demographics of customers is at the retailer for each one of a plurality of different time periods, and transmits the electronic media package and an instruction regarding which frequency to tune to for each one of the plurality of different time periods based on one of the plurality of different demographics of customers who is at the retailer during the each one of the plurality of different time periods.

The present disclosure provides a method, computer system and computer program product for determining interruption points based on emotion values in a content. According to the method, emotion values of one or more emotion catalogs at one or more time points of the content to be interrupted can be determined, and one or more interruption points can be determined based on the determined emotion values.

Operations include determining a sales conversion window based on product characteristics and/or user characteristics. Product characteristics may include a type of product, a price of the product, a style of the product, and a lifetime of the product. User characteristics may include conversion windows for prior purchases by a user, browsing history, and demographic information. The system may determine the sales conversion window based on events indicative of user interest. The events may include viewing a product, liking a product, sharing a product, adding a product to a cart for purchase, and purchasing a product. One or more events may be used to generate a model for the sales conversion window. Some embodiments execute one or more actions for generating sales during the computed sales conversion window.

A profit redistribution device, profit redistribution method, program storage medium, profit redistribution system, content providing device, content providing method, program storage media, and content providing system are disclosed. Profit redistribution processing is performed according to the accumulated points proportionate to the number of times the content with a commercial video is provided to a client PC. Thus, a fair profit redistribution can be easily performed. A preset content with a commercial video is provided to a user when requested from the client PC, and it is possible to provide advertisement information without the user being aware of the commercial.

A system for provisioning credentials onto an electronic device is provided. The system may include a payment network subsystem, a service provider subsystem, and one or more user devices that can be used to perform mobile transactions at a merchant terminal. The user device may communicate with the service provider subsystem in order to obtained commerce credentials from the payment network subsystem. The user device may include a secure element and a corresponding trusted processor. The trusted processor may generate a random authorization number and inject that number into the secure element. Mobile payments should only be completed if the random authorization number on the secure element matches the random authorization number at the trusted processor. The trusted processor may be configured to efface the previous random authorization number and generate a new random authorization number when detecting a potential change in ownership at the user device.

A method for selecting advertisements to embed in an online application, including detecting an access to the online application by a customer, determining, based on an impression tracker associated with the customer, and using an ad type selection model, an advertisement to embed in the online application. The advertisement is displayed to the user and the impression tracker associated with the customer is incremented. The method further includes receiving, from the user, a selection of the advertisement, storing a type of the advertisement and the value of the impression tracker as ad selection data, determining that the ad type selection model needs to be updated, and updating the ad type selection model based on the ad selection data to obtain an updated ad type selection model.