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.

Systems and methods for entity detection using artificial intelligence, including: a deep learning model service configured to: select and analyze a set of frames from a media item to determine a set of candidate brand-probability pairs; a voting engine configured to: determining that a first brand-probability pair of a set of candidate brand-probability pairs based on at least one obtained hyperparameter value does not meet a threshold for determining whether candidate brand-probability pairs are to be included in a result set; excluding the first brand-probability pair from the result set based on the determination; sorting the result set; and selecting at least one final brand-probability pair from the result set; and an offline transcoding service configured to: store the final brand-probability pair in a repository with a relation to an identifier of the media item.

Systems and methods for programmatic generation of training data, including: a training data generation engine configured to: identify an image asset corresponding to an entity; identify a training video; select a consecutive subset of frames of the training video based on a procedure for ranking frames on their candidacy for overlaying content; for at least one frame of the subset of frames: perform an augmentation technique on the identified logo image to generate an augmented image asset; overlay at least one variation of the image asset, including the augmented image asset, onto each of the subset of frames to generate a set of overlayed frames; and generate an augmented version of the training video including the overlayed frames; and a model training engine configured to: train an artificial intelligence model for entity detection using the augmented version of the training video.

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.

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.

This disclosure provides aspects and embodiments of methods, services, and platforms for prompting users with a zero account balance to send a callback message to a contact informing the contact that the user cannot call them and asking the contact to call the user. This disclosure further provides location determining platforms and rewards platforms for users.

Advertisement user feedback data may be collected and provided to an advertisement decision engine. Advertisements may be presented to users via various electronic media such as digital television, Internet, software, etc., and advertisement feedback user interfaces may be provided to users in connection with such advertisements. An advertisement feedback user interface may be provided via the same electronic medium and device as the corresponding advertisements, or via a different electronic medium and/or device. User feedback data regarding electronic advertisements, as well as additional related data, may be received and provided to one or more advertisement decision engines. An advertisement decision engine may use the advertisement user feedback data to determine a future advertisement to be presented to one or more users at an advertisement insertion opportunity identified in one or more various electronic media.

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.

This disclosure provides methods, systems, and platforms for automatically prompting a mobile device user to download an application to their mobile device after a triggering event. Triggering events include calling a business, receiving a call from a business, and navigating to a website. In some embodiments, a business can run a targeted campaign to automatically prompt a mobile device user to download an application. In some embodiments, the platform interacts with an application installed on the mobile device. The prompt displayed on the mobile device includes an actionable option to download an application.

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 corresponding to a first treatment dataset, a second set of weights corresponding to a second treatment dataset, and a third set of weights corresponding to a control dataset, the weighting engine to increase an operational efficiency of the apparatus by calculating the first set of weights, second set of weights, and third set of weights independently, a weighting response engine to calculate a first weighted response for the first treatment dataset, a second weighted response for the second treatment dataset, and determine a causal effect between the first treatment dataset and the second treatment dataset based on a difference between the first weighted response and the second weighted response, and a report generator to transmit a report to an audience measurement entity.