The subject matter of this specification can be embodied in, among other things, a method that receives at a server a first request to rebroadcast a first sponsored content item that was displayed on the social network to the first user to a second user. A second request to display at least one sponsored content item to the second user when the second user accesses an electronic document associated with the social network is received at the server. The first sponsored content item is retrieved for rebroadcast from one or more sponsored content items indicated for rebroadcast to the second user. The first sponsored content item is output to the second user of the social network in response to the second request to display and without requiring the second user to select the first sponsored content item for display.

A collateral generation system generates and sends physical direct mail to one or more users on behalf of an entity with which the users have interacted. The collateral generation system can send physical direct mail to prospects, who may not have a prior relationship with the entity. In general, prospects would not normally be sent mailings because the entity lacks some primary information about the entity, such as an address or sufficient identifying information to obtain an address of the entity. The collateral generation system identifies prospects based on activity online and obtains mailing addresses of the prospects from an identification service while retaining user anonymity of those prospects. The collateral generation system generates collateral, which may be personalized for a defined block group of prospects (e.g., individuals or organizations), and the collateral is sent as physical mail to the prospects on behalf of the entity.

A system described herein may allow for the intelligent, dynamic selection of an active tenant for a standalone, multi-tenant environment, such as a multi-operator bus or other vehicle. Intelligent selection may be performed using machine learning and/or other suitable techniques, which may be based on similarity to previous usage by a registered tenant, and may further include analyzing structured and/or unstructured data regarding the environment. In addition, the system may allow different profiles, content, or content templates to be associated with different tenants, thus granting a high level of dynamic flexibility in tailoring the content and/or services provided to the users of the environment based on the selected tenant.

Examples of the present disclosure describe systems and methods for intelligent ad-based routing. In example aspects, a destination input, desired time for arrival, and user profile data is received in a ride-sharing application. The input data is classified by applying one or more machine-learning models to the data. Based on the classified data results, candidate physical advertisement locations may be selected along a certain route. Different types of routes may be selected that range from the shortest possible route (i.e., a direct route) to a major detour (i.e., the most cost-effective route). A major detour takes the user on a route that exposes the user to as many advertisements as possible while still arriving at the final destination before the desired time of arrival. In exchange for a longer route and more exposure to physical advertisements, the cost of the ride may be offset. While the user is in proximity to the physical advertisement along the route, businesses associated with the physical advertisement locations may transmit real-time advertisements/messages to the user to be displayed on a user device, a vehicular device, and/or a combination of the two. During the ride, the real-time business information may be received that may alter the route to maximize the effectiveness of real-time advertisement delivery.

A method, a computing unit and a system for token-based information exchange between a computing unit of a first entity (400A) and a computing unit of one second entity (400B) are presented. The method comprises obtaining (110) a token set (200A) associated with the first entity (400A) and a token set (200B) associated with the one second entity (400B), clustering (120) the token set (200A) associated with the first entity (400A) into clusters, requesting (130) information on tokens (205, 205A, 205B) from the computing unit of the one second entity (400B), receiving (140) information on said tokens (205, 205 A, 205B) from the computing unit of the one second entity (400B), determining (150) an active cluster associated with the first entity (400A), modifying (160) the token subset (310, 320) associated with the determined active cluster of the first entity (400A) at least partly with information on the received tokens (205, 205A, 205B) associated with the second entity (400B).

An information processing device includes circuitry that detects a change in a position of a person. The circuitry also changes a position of a virtual sound source in accordance with the change in the position of the person and outputs a sound through wave field synthesis so that a spatial sound field is transmitted via a plurality of speakers.

A skin care computing device that includes a user interface, a camera, a speaker, a communication interface, and a personal care assistant application. The personal care assistant application can identify personal care products being used by a user and product use event data describing the use of a personal care product by the user, such as the date and time of the use, the duration and frequency of the use, and the manner in which the personal care product is being used. Then the personal care assistant application generates user feedback information for the personal care product based on the product use event data, previous instances of product use event data, and/or user profile data for the user.

Systems and methods for providing personalized information to a registered customer of a business make use of a central computer server and a database that is in communication with the central computer server. The database includes data associated with the registered customer and data associated with products offered by the business, and is managed by the central computer server. A mobile device associated with the registered customer communicates with the central computer server via a software application running on the mobile device, and an image of a selected product is thereby communicated from the mobile device to the central computer server. Upon the identification of the selected product from the image, data associated with the selected product is retrieved and compared to data associated with the registered customer to thereby transmit personalized information to the mobile device of the registered customer based on that comparison.

Systems, methods, and non-transitory computer-readable media can be configured to determine a content item template that includes a placeholder character. A personalized character can be generated based on the placeholder character and user preference information of a user. A personalized content item can be generated for the user based on the content item template and the personalized character.

A social networking system associates identification information with combinations of values used to generate a dynamically-created advertisement. Interactions with the dynamically-created advertisement by social networking system users are also associated with the dynamically-created advertisement. The social networking system uses the identification information to present the same combination of values used to generate the dynamically-created advertisement to additional social networking system users. Additionally, information describing interactions with the dynamically-created advertisement is determined from the interactions associated with the identification information, allowing the dynamically-created advertisement to be included in a personalized feed of content items presented to an additional user along with information describing interactions by various users presented with the same combination of values of components in the dynamically-created advertisement.