The systems, methods and computer program products (collectively “system”) described herein relate to customized real time data delivery. The system may be configured to receive, by a performance marketing cluster, first data from a first data source. The system may also receive, by the performance marketing cluster, second data from a second data source. The system may determine, by the marketing cluster, an analysis scheme for the first data and the second data based on the first data source. The system may also determine, by the marketing cluster, at least one of a propensity to act or a recommendation selected from a predefined number of available options for a population based on the analysis scheme and the first data source.

An advertisement delivery apparatus according to the present application includes a receiving unit, a classifying unit, and a determining unit. The receiving unit receives a delivery request for a plurality of advertisements to be delivered to a terminal device. The classifying unit classifies the advertisements for which the delivery request is received by the receiving unit into a plurality of groups, based on a predetermined condition. The determining unit determines the advertisements to be delivered, for each of the groups classified by the classifying unit.

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.

This document describes the collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications. Specifically, the disclosed devices and systems may be employed to produce one or more marketing and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating user engagement, thereby accurately determining the cost benefits of the campaign. The analytic results provided may then be used to guide the generation of original web content, such as for the purposes of enhancing customer or follower experience, driving business, and for driving advertising campaigns. Alternatively, web content that is in the public domain, and determined to perform well, can be reproduced, referenced, or otherwise referred to, in the context of promoting or presenting the user's web content.

Provided are methods and systems for, in one aspect, managing content delivered to one or more devices. Methods may comprise receiving a first identifier associated with a user of content. The content may comprise one or more advertisement or placement opportunities. A second identifier may be determined based at least on the first identifier. The second identifier may be a perishable identifier configured to expire based on an event. The second identifier may be transmitted to an entity associated with an advertisement inventory, wherein the second identifier facilitates the targeted placement of one or more advertisements from the advertisement inventory without exposing the first identifier to the entity.

The present invention relates to a system for mediating personal data of a user, and it is an object of the present invention to provide the personal data mediation system which allows information to be more reasonably mediated.

Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to perform probabilistic modeling for anonymized data integration and measurement of sparse and weakly-labeled datasets are disclosed. An apparatus includes a training controller to train a neural network to produce a trained neural network to output model parameters of a probability model, a model evaluator to execute the trained neural network on input data specifying a time of day, a media source, and at least one feature different from the time of day and the media source to determine one or more first model parameters of the probability model, and a ratings metric generator to evaluate the probability model based on input census data to determine a ratings metric corresponding to the time of day, the media source, and the at least one feature, the probability model configured with the one or more first model parameters.

The present teaching relates to generating an updated model related to advertisement selection. In one example, a request is obtained for updating a model to be utilized for selecting an advertisement. A plurality of copies of the model is generated. The model is pre-selected based on a performance metric related to advertisement selection. Based on each of the plurality of copies, a candidate model is created by modifying one or more parameters of the copy of the model to create a plurality of candidate models. One of the plurality of candidate models is selected based on the performance metric. The steps of generating, creating, and selecting are repeated until a predetermined condition is met. The model is updated with the latest selected candidate model when the predetermined condition is met.

This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.

Embodiments described herein are related to systems and methods for offering an upgrade for a transportation service. In one aspect, a computer can receive a reservation request for a transportation service including an itinerary indicating a first location, a second location, and a first service category of the transportation service. The computer can determine a plurality of reposition estimates for a plurality of service categories including the first service category and one or more potential service categories, each reposition estimate being determined based upon the first location, the second location, and a particular service category. The computer can identify, as a second service category, the potential service category having the reposition estimate lower than the reposition estimate of the first service category in the reservation request. The computer can transmit to the client device an upgrade notification indicating an eligibility to update the itinerary to include the second service category.