A system may store a first merchant identifier in response to a registration of a first merchant and a user identifier in response to a registration of a user. The system may also store an access permission to control access by the first merchant to a first context. The access permission may be configured for retrieval by a query including at least one of the user identifier or the first merchant identifier. The system may return the first context in response to a first application programming interface (API) call and in response to the access permission authorizing access to the first context.

Systems and methods are for identifying online advertisements to display to a user based on historical user data collected across the user's use of a plurality of Internet devices. One method includes receiving, over a network, a request for an advertisement to display at a first device of the user, the request including a unique identifier stored on the user's first device; accessing, in a database, a demographic or browsing history information generated from the user's use of a second device, the demographic or browsing history information being stored in the database in relation to the unique identifier; and identifying, based on the demographic or browsing history information, an advertisement to display at the user's first device. The demographic or browsing history information is synchronized based on the unique identifier being stored on the user's first device and the user's second device.

To enhance motivation of a player to invite another player to a social game, thus activating the social game and a platform that provides the social game, a server device includes incentive giving means that gives an incentive to a player who operates a first terminal device when a player of a second terminal device that receives, from the first terminal device, invitation information including solicitation information to at least suggest participating in the game and specific information to at least specify a landing screen associated with a home screen of the game operates the second terminal device to access the landing screen on a basis of the specific information.

Techniques are disclosed relating to methods that include receiving an indication of an access by a user to a web page that includes a beacon, and calculating a readiness score for triggering the beacon. The methods may also include determining, based on the readiness score, whether to perform a client-side or server-side triggering of the beacon. The triggering causes data associated with the access to be transmitted to a third-party computer system.

A computer-implemented method for smart appliance product segmentation and communication, including: generating, with at least one processor, a plurality of product interest codes; assigning, with at least one processor, at least one product interest code of the plurality of product interest codes to each of a plurality of products of at least one merchant; based at least partially on a profile of a smart appliance user, associating, with at least one processor, at least one product interest code of the plurality of product interest codes with an interaction between the smart appliance user and at least one smart appliance; matching, with at least one processor, that at least one product interest code of at least one product with the at least one product interest code associated with the interaction; and automatically generating and transmitting, with at least one processor, at least one communication to the smart appliance user.

The present invention relates generally to a system and method for sorting, ranking, and presenting and/or recommending multiple products for purchase having different labels in a coherent and structured way, and more specifically a system and method to generate marketing communications which display labels and/or wine labels based on an affinity system and ranking to help consumer and buyer select and purchase wine using either a digital interface or even in the course of normal retail buying process to select appropriate product.

A system for generating and communicating playable videos over a computer network to customers of subscribing retailers is provided. The system employing software running on computers in engaged electronic memory, provides for the assembly and video content categorizing of information concerning each electronic video, in a library of such held in electronic memory, to allow for individual electronic video files to be matched to the customers, based a correlation thereof to the interests, buying habits, social and other ascertained customer information relating to each respective customer.

Systems and methods for a contract-based offer generator is provided. A contract for a promotional offer on a product is received. Data is extracted from the contract. An offer band is accessed, and a plurality of test offers are selected from the offer bank by scoring each offer in the offer bank against the extracted data. The promotional offer and the selected plurality of test offers are deployed in a plurality of retail locations. This is done by maximizing orthogonality between the following variables: store sales, store out of stock rates, number of relevant SKUs carried in each store, temporal effects, discount depth, buy quantity and offer structure.

Method and systems, including a computer program product, for segmenting customers. A customer is selected from a set of customers associated with a merchant. A propensity to refer score is determined for the selected customer. The customer is associated with a customer segment among two or more customer segments. The associating is done at least in part based on the propensity to refer score. A customized message is provided to the customers in at least one customer segment.

A system can determine a first persona for a user identity. The system can generate a web page based on the first persona, wherein respective reinforcement learning agents determine respective content of respective content modules of the website, wherein the reinforcement agents operate on an environment that comprises a group of states, a group of actions, and a group of rewards that are based on the group of states, and respective actions of the group of actions, and wherein a reward of the respective reinforcement learning agents that is increased via reinforcement learning is based on a sum of respective rewards of the respective reinforcement learning agents in transitioning the user identity to a second persona with respect to the website. The system can, in response to receiving first action data indicative of user identity interaction with the web page, transition the user identity to the second persona.