A campaign profile specifies products and/or content items associated with a campaign. A target group selection engine applies an affinity attribute model to user information of a user. The affinity attribute model is used to determine the user's affinity towards (a) product attributes of the products associated with the campaign and/or (b) content attributes of the content items associated with the campaign. The affinity attribute model may be generated using machine learning. A user interface accepts target user tuning parameters that specify weights to be applied to the affinity attributes determined by the affinity attribute model. Based at least on applying the weights to the affinity attributes, an inclusion score and/or exclusion score for the user is determined. The user is included in a target group, for engaging with the campaign, based on the inclusion score and/or exclusion score.

Systems and methods for take-out order management and analysis. In an embodiment, for each of a plurality of restaurants, an interactive menu associated with the restaurant is provided to a plurality of users, a plurality of orders are received from the plurality of users, and the plurality of orders are sent to the restaurant. Order information related to the plurality of orders and the plurality of users is stored in at least one database, and analyzed.

Systems and methods are provided for generating and provisioning personalized news feeds for athletes. One embodiment is a system that receives metrics for exercise activities performed by athletes. The system generates records of the exercise activities of the athletes based on the metrics, determines a type of exercise for each record, classifies the records based on corresponding types of exercise, and compiles a fitness history, for each athlete, comprising records of exercise activities performed by the athlete. For each of the athletes, the system generates a digital news feed for the athlete, identifies categories of engagement for the athlete based on types of exercise indicated in the fitness history of the athlete, selects articles from a repository, personalizes the digital news feed for the athlete by populating the digital news feed with the selected articles, and transmits the digital news feed to a user device.

Described is an intelligent real-time multiplayer content management and data analytics system for AR-based social platforms. The data management system described herein manages AR content and multiple user interactions with the AR content. Additionally, a new multiplayer multiple-stage information augmentation design based on real-time data analysis and live AR interaction is described. In this design, AR content design is very flexible and may be organized into one or more stages containing pre-defined content, on-line searched content, user-generated content, other user-generated content, real-time user interactively generated content, or some combination. The flexible content structure allows for a highly customizable AR social experience to maximize the system performance and user experience.

To make it possible to further improve the convenience of a user. There is provided an information processing device including: a user characteristic identification unit configured to identify a characteristic of a user about content by relating user-sent information sent by the user for the content to the content; and a presentation information distribution unit configured to distribute presentation information to be presented to the user in relation to the content on the basis of characteristic information indicating the identified characteristic of the user.

A learning apparatus according to the subject application includes an acquisition unit, a generating unit, and a specifying unit. The acquisition unit acquires terminal information that is information about a terminal device receiving information content. The generating unit generates a model indicating a tendency of predetermined behavior related to predetermined information content to be taken, by learning the relation between result information indicating whether the predetermined behavior related to the predetermined information content has been taken and terminal information acquired by the acquisition unit. The specifying unit specifies a terminal device to serve as a destination receiving the predetermined information content, based on the model generated by the generating unit.

Systems and methods for using wireless beacons in point of purchase (“POP”) displays to facilitate the delivery of consumer oriented content to mobile devices is disclosed herein. Wireless beacons may be used to broadcast wireless signals from POP displays, where the wireless signals include data packets with unique identifiers for the wireless beacons. The wireless signals may be received by mobile devices. A wireless network gateway may also receive the wireless signals. A remote server may communicate with the mobile device and/or the wireless network gateway where the remote server includes a database with up-to-date content associated with the POP displays.

Aspects discussed herein relate to systems, apparatuses, and methods to determine when a user remains engaged or stops paying attention to a content item. In response, a snapshot of the user's activity and environment may be obtained to ascertain the reason the user stopped paying attention. If the user stopped paying attention as a result of being uninterested in the content item, the system may replace the content item, such as an advertisement, with a different content item to regain the user's attention. Further, demographic information and the user's interests may be updated for use in scheduling future content items.

A method and a system for receiving targeted content are disclosed. In an embodiment, in a mobile device at least a first metadata corresponding to a first content displayed on a digital signage board is received, based on a predetermined action performed by the mobile device. The first metadata comprises at least a location of the digital signage board. A second metadata corresponding to one or more product categories associated with one or more products in vicinity of the digital signage board is determined, based on the location of the digital signage board. One or more user preferences are determined based on the first metadata and the second metadata. The targeted content is received on the mobile device based on the one or more user preferences.

A system, method, and device for virtualizing a location. A virtual location is selected for an organization. Donations are received to support the virtual location of the organization. The virtual location is established, utilizing the donations. Interactions are performed with the users at the virtual location.