Embodiments of the present invention disclose a method, computer program product, and system for generating a schedule for promotions using promotional windows. A set of product data associated with a plurality of products is received. Promotion data is received, and a plurality of intensity scores are calculated for the associated promotional data. A set of target product data associated with a target product is determined. A set of target promotional attributes is determined and a plurality of promotion windows are generated for display. A confidence value is determined for each generated promotion window of the plurality of promotion windows. An order list is generated for display. In response to receiving a second set of promotion data, the determined confidence value is modified for each generated promotion window of the plurality of promotion windows.

A system for distributing content includes a content distribution platform (CDP) analysis module configured to determine an optimal combination of one or more CDP components for distributing a specified content item based on at least one content item profile. A method of distributing content includes determining an optimal combination of one or more content distribution platform (CDP) components for distributing a specified content item based on at least one content profile.

A system, method, apparatus and processor readable media are described for real-time prediction of an advertising audience volume through analysis of historical audience data, and tuning of the predicted audience volume. Embodiments enable a user to specify a query for audience volume prediction. Such a query may be a Boolean combination of various audience categories. A time range may be determined that indicates the amount of historical data that is to be analyzed to make the audience volume prediction in real time. Employing the user-specified query, an audience volume prediction may be provided for a future time period, based on an analysis of retrieved historical audience data for the time range. Embodiments may also enable a user to tune the predicted audience volume through modification of the query through one or more iterations.

Methods and systems for providing information associated with a location history of a mobile device to one or more applications are disclosed. A mobile device generates one or more location history records based on one or more locations of the mobile device, each location history record comprising one or more points of interest and a duration at the one or more points of interest, receives an information request from at least one application, determines a subset of the one or more location history records that meet criteria from the information request, determines a level of permission for the at least one application based on the information request and the subset of the one or more location history records, and provides information associated with the subset of the one or more location history records to the at least one application based on the level of permission.

A method, which comprises determining a logical identifier used for communication over a network portion managed by a service provider and transmitting to a computing apparatus adapted to effect online transactions involving a payer and a payee an indication of the service provider having agreed to act as the payer for at least one online transaction requested by a requesting device that uses the logical identifier. Also, a method, which comprises determining a logical identifier used to identify a device during a request for an online transaction; identifying, based on the logical identifier, a third party that has agreed to act as a payer for the online transaction; providing a user of the device with an opportunity to confirm the third party as the payer for the online transaction; and completing the online transaction based on input from the user.

A novel software based communication system is described allowing multiple people to queue activities, or communications, to a particular contact and for the highest value communication pattern to be calculated. The method includes assigning a reward, interrupt and signal value to each activity. The result is that a contact receives the communication pattern that maximizes reward potential while maintaining a consumer interruption value less than a maximum and greater than a minimum.

This invention concerns optimal ad selection for Web pages by selecting and updating an attribute set, obtaining and updating an ad-attribute profile, and optimally choosing the next ad. The present invention associates a set of attributes with each customer. The attributes reflect the customers' interests and they incorporate the characteristics that impact ad selection. Similarly, the present invention associates with each ad an ad-attribute profile in order to calculate a customer's estimated ad selection probability and measure the uncertainty in that estimate. An ad selection algorithm optimally selects which ad to show based on the click probability estimates and the uncertainties regarding these estimates.

A system and method for the generation and use of local formulas for informed decision-making is disclosed. A particular embodiment includes: establishing, by use of a data processor and a data network, a data connection with at least one seller platform and at least one lender platform; at the seller platform, generating a set of purchase and loan parameters in an initial loan pre-qualification application; sending the initial loan pre-qualification application via the data connection to the at least one lender platform; receiving via the data connection from the at least one lender platform a customized formula-based decision computation module in response to the initial loan pre-qualification application, the customized formula-based decision computation module including loan criteria corresponding to the purchase and loan parameters in the initial loan pre-qualification application, the customized formula-based decision computation module being configured for local execution at the seller platform; executing the customized formula-based decision computation module locally at the seller platform to generate loan terms based on the purchase and loan parameters and the loan criteria; and generating a user interface at the seller platform to present a set of purchase options, the purchase options conforming to the purchase and loan parameters and the loan terms computed locally by the customized formula-based decision computation module.

Systems and methods for providing an artificial intelligence (AI) marketing campaign optimization platform or system that automates and optimizes bidding, audience matching, and retargeting of marketing campaigns to meet business goals on digital platforms. The campaign optimization system may autonomously plan and manage advertising campaigns for a plurality of organizations on one or more digital platforms. The campaign optimization system may provide autonomous bidding, autonomous audience matching, and autonomous creative optimization. The autonomous bidding features allow an organization (e.g., company) to target their highest value customers to reach their growth targets or other goals. A bidding automation tool optimizes every dollar spent on advertisements placed on digital platforms to ensure organizations are paying the optimum price for the optimum audience. An audience matching tool autonomously reveals new interest and audience groups, and identifies new keyword groups.

A system and method for determining total capacity, amount reserved or sold and remaining availability of ad impressions for an online advertising publishing system. Calculations may be based on multiple factors including for example 1) actuals of historical data of ad impression delivery, 2) various delivery parameters including ad targeting overlap with other ads, timing, priority and impression goals, and 3) a mathematical algorithm and calculations of the above incorporating adjustments due to seasonality and market factors. The resulting calculations are used to reserve, schedule and target advertisements to be delivered over a network to be viewed by consumers.