A computer-implemented method, computer program product, and computing system for receiving a social platform inquiry from a client; analyzing a current responsibility score associated with the client; recommending one or more social platforms based, at least in part, upon the current responsibility score; and predicting an updated responsibility score for the client based, at least in part, upon the one or more social platforms.

This disclosure provides systems, methods, services, and platforms for prompting a user to respond to an offer on a mobile device. The disclosure enables Mobile Network Operators to create campaigns to target customers who are nearing the limit of their data plans, voice plans, SMS plans, and MMS plans. In some embodiments, the cloud server interacts with a client application to prompt the use of a mobile device to respond to an offer send in a campaign. The disclosure also provides embodiments to check to see if the user has opted out of receiving offers, or if a device can not execute a command, or if a threshold number of offers has already been sent. This disclosure also provides embodiments for authenticating third party account log-in.

According to an embodiment, a data processing system for managing electronic offers comprises: a memory storing a set of historical transaction records pertaining to past consumer transactions and a set of offer data relating to an offer provider; and a logic module adapted to automatically suggest an offer to the offer provider based on at least a subset of the historical transaction records and at least a subset of the offer data, the offer being targeted at a consumer. In an embodiment, the electronic offer is suggested in response to a request for a receipt made by the consumer. In an embodiment, the electronic offer is automatically approved by the offer provider and is included in a transaction receipt transmitted to a data processing system associated with the consumer.

Disclosed is an advertising method which comprises guiding an advertiser to create at least one ad and incentivizing a consumer to access the at least one ad by offering a reward to the consumer for interacting with the ad, wherein consumer profile data useful for ad targeting is acquired as a prerequisite for allowing the consumer to earn the reward.

This document presents devices, systems, and their methods of use for content generation, engagement, and distribution by which a user can interact with collected content in a variety of different manners. Generally, a content engagement platform is provided, where the platform may be implemented on one or more computing devices, such as one or more of: a remote server, a desktop computer, a tablet computer, a handheld mobile computing device, for instance, a mobile phone or personal digital assistant, a smart accessory, such as a watch or eyeglasses, and the like. The platform allows a user to annotate and distribute video content.

A method for identifying, contracting, evaluating, bounding, and filtering out uncertainty in survey data is provided. The method includes: receiving survey responses with respect to a customer survey; constructing a simulated numerical model that replicates the structure of the original survey by using responses that are generated randomly from distribution of responses with constraint variability that specifically account for the uncertainty that arises from the subjective nature of sampling response from an ordinal range of possible options; matching between the original survey and the numerical model using a machine learning algorithm; and evaluating and filtering out the uncertainty of the original survey. In addition, a method is offered to constrain and contract the uncertainty by assigning survey responses to corresponding evenly distributed bins and by calibrating the survey responses by attaching a short textual description to each of the ordinal values in the original survey.

Methods, systems, apparatus and articles of manufacture to determine causal effects are disclosed herein. An example apparatus includes a weighting engine to calculate a first set of weights for a first set of covariates corresponding to a treatment dataset and a second set of weights for a second set of covariates corresponding to a control dataset using maximum entropy, the first set of weights to equal the second set of weights. The example apparatus also includes a weighting response engine to calculate a weighted response for the treatment dataset and a weighted response for the control dataset by: mapping the first set of weights and the second set of weights to a uniform weighting identifier, determining a constraint matrix based on the first set of weights, the second set of weights and the uniform weighting identifier, and bypassing multivariate reweighting by calculating the weighted response for the treatment dataset and the weighted response for the control dataset by applying maximum entropy to the constraint matrix.

Disclosed here is a system that can obtain attributes of an advertisement, where an attribute has a continuous value, and a range of acceptable values is uncertain. The system can create a file including contents that when provided to a predetermined function produce a value of the attribute. Based on the file, the system can generate values corresponding to the attributes. Based on the generated values, the system can create the advertisement. The system can obtain a response data to the created advertisement and can fit a multidimensional function to the attributes and the user response data. Based on the multidimensional function, the system can determine next values and next ranges, where the next values and the next ranges indicate an improvement in the response data.

Presented herein is an interactive platform for judging an activity by a participant in an event. The platform includes a client application program downloadable to a mobile device. The program may include a database storing a mobile device identifier (ID), a user ID, user information, and location data of the device. The application may further be configured to display one or more events of the activity as well as an input for receiving a score of the activity from the user. The platform may additionally include a server system connected with the client application programs via a communication network. The server system may be configured for receiving the mobile device ID, the user ID, the user information, and the location data for the client program, and may further be configured to receive the scores from the users, and to adjust the scores according to determined bias of the associated user.

Methods, apparatus, systems, and articles of manufacture are disclosed to adjust demographic information of user accounts to reflect primary users of the user accounts. An example apparatus includes memory, programmable circuitry, and instructions in the memory, the instructions to cause the programmable circuitry to at least access impression data associated with a user account registered with a database proprietor, the user account associated with first demographics at a database of the database proprietor. The example programmable circuitry is also to determine a primary user of the user account based on the impression data and based on second demographics of multiple users of the user account, the multiple users including the primary user. Additionally, the example programmable circuitry is to modify the first demographics associated with the user account based on at least some of the second demographics, the at least some of the second demographics corresponding to the primary user.