A computer implemented coaching platform is described that utilizes contextual data associated with a user and/or his environment in order to provide dynamically changing content while the user is undergoing physical activity. Related apparatus, systems, techniques and articles are also described.

A highlight transmission service allows users of communication devices to view highlights of sporting events while the sporting events are occurring without having to watch the sporting events. For example, a computer-implemented method may comprise: determining that a highlight of a sporting event is to be conveyed to a communication device; and transmitting data regarding the highlight of the sporting event to the communication device over a network during the sporting event in order to allow a user of the communication device to view the highlight of the sporting event.

A computer-implemented method for controlling content distribution includes forwarding information associated with a user to a device operated by the user, the information being configured for use in selecting content from any of multiple content providers for a content distribution to the user. The method includes receiving, in response to the information, an edit of the information forwarded from the device. The edit identifies a first content provider and including a first modification of the content distribution regarding the first content provider. The method includes storing the edit in association with the information such that the first modification is taken into account in the content distribution. The method can be implemented using a computer program product tangibly embodied in a computer-readable storage medium.

Non-transitory computer-readable media and method for conducting an Internet chat session between an associate device and a client device are disclosed. A chat is enabled between the associate device and the client device in accordance with at least one chat persona. The associate device is instructed to display a plurality of response recommendations wherein the plurality of response recommendations is developed iteratively in response to messages received from the client device, in accordance with the at least one chat persona, and using machine learning of prior chat logs.

Apparatuses, system, methods, and computer program products are presented for presenting content based on location. A location module monitors location data from one or more sensors of a hardware device for a user relative to a plurality of target locations. A target location is associated with one or more items for sale. A selection module selects an offer to finance an item for sale for a user based at least in part on financial transaction data for the user. An offer module dynamically provides an offer to a user in response to monitored location data from one or more sensors satisfying a target location.

A method including receiving a digital promotion payload from a brand manufacturer for at least one branded consumer packaged good, the digital promotion payload including a digital promotion value associated with the branded consumer packaged good, is provided. The method includes receiving a bid request to the digital promotion engine, providing a bid response to the bid request, the bid response including the digital promotion payload, and receiving, from the supply side platform, a confirmation that the bid response has been selected from one or more bids from different digital advertising entities. The method includes providing a command to the supply side platform to deliver the digital promotion payload to a mobile device accessing a resource from the mobile display publisher, and loading the digital promotion value to a frequent shopper identification in response to a consumer interaction with the digital promotion payload detected from the mobile device.

A method for generating a targeted label is provided. An official account in a social network platform is determined by processing circuitry of an apparatus. A plurality of user accounts in the social network platform that follows the official account of the determined provider is determined. Each of the plurality of user accounts has a corresponding user label that indicates a user attribute of a user associated with the respective user account. The plurality of user accounts is added to a set of targeted user accounts. The targeted label for the recommendation information is determined according to the user labels of the plurality of user accounts. Subsequently a set of target user accounts in the social network platform is determined according to the determined targeted label, and the recommendation information is sent to user clients of the user account included in the set of target user accounts.

The present system provides users engaging with sharing platforms a method to monetize their contribution in generating ad revenue for various advertisers. The system can quantify the user contribution based on the user's behavior and action related to individual ads on the sharing platforms. The system provides a method of monetizing a user's contribution to ad revenue, thereby incentivizing users to share the selected ad to the user's audience.

A computer system operates to detect a series of activities performed by a user, where the activities include interactions as between the user and one or more user interface components. The computer system recognizes the of activities as a sequence of events, where each event of the sequence corresponds to one more activities of the series. In response to the computer system detecting a current user activity, the computer system determines at least one of a user intent or interest based on an analysis of a relevant portion of the sequence of events.

The present invention provides a processing apparatus (10) including a trial information acquisition unit (11) that acquires trial information including customer identification information and trial target identification information identifying a trial target tried by a customer identified by the customer identification information, an extraction unit (12) that extracts a product or a service of the same kind as the trial target from at least either purchase history information or trial history information being associated with the customer identification information, and a comparison screen output unit (13) that generates and outputs a comparison screen comparing the trial target with the product or the service extracted by the extraction unit (12).