A method for identifying segments of a population of user devices communicating on a communications network. The segments correspond to user devices of the population exhibiting comparable behavioral patterns detectable by the communications network. A plurality of marketing systems are accessible on the communications network, and each of the plurality of marketing systems include respective use data corresponding to respective ones of the population for the marketing system. The method includes retrieving by a processor the respective use data for the population, from the plurality of marketing systems, determining by the processor if the respective use data exceeds a threshold for particular behavioral pattern of interest, for the respective use data, determining by the processor a unique identifier for each user device of the use data, grouping by the processor in a database, the respective use data in relation to the unique identifier, for each user device of the use data that exceeds the threshold, and mapping by the processor in the database, the behavioral pattern of the respective use data for each user device of the use data that exceeds the threshold. Behavioral patterns are determined for the respective segment, and related to the user devices of the segment. Content for delivery to the segment is sequenced, and placeholder in the sequence is stored in relation to each user device of the segment, to ensure that each next sequential content is delivered to the respective user device.

A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising a set of nodes in the cognitive graph; associating a user with the cognitive persona; and, performing a cognitive computing operation based upon the cognitive persona associated with the user.

A computer-implemented method for improved ticket purchasing/selling process using a ticketing system. The purchasing process of tickets for a user can be facilitated by a web interface having an event selection menu configured to display one or more events having tickets available for purchase. Available inventories for tickets to one or more events can be displayed on an interactive venue map of the web interface. The user can choose desired seats for purchase via the venue map. Additional menus can facilitate the ability for a user to compare show dates, showtimes, and seating availability across different events. The ticketing system can also be configured to collect and process customer data through tracking pixels configured within the one or more pages of the web interface. Subsequently, bidding on digital marketing and advertisement can be conducted using the gathered customer data.

Embodiments of the present disclosure include a platform for a resource provisioning system. The platform can execute big data analysis techniques to access-right data to generate statistics that characterize a set of users. For example, characteristics of users who access resources events can be analyzed with varying levels of detail. The access-right data can include access right assignments, and data identifying the users to which access rights are assigned. In some implementations, spatial management systems can access the platform to generate statistics for the resources.

A method and system for managing digital media campaigns accesses a set of programming data that contains various attributes of media assets that a media service provider will present to users. A media advertising campaign manager receives various criteria for the inclusion of advertisements in a particular entity's advertising campaign. The system uses the attributes in the data set to develop an advertising campaign that satisfies the entity's criteria. In various embodiments, the method system may consider the entity's preferences, seller criteria, and campaign requests for other entities.

In general, embodiments of the present invention provide systems, methods and computer readable media for a predictive recommendation system using predictive models derived from tiered feature data.

A request for a page is received. A client-side executable code that is included in a plurality of content elements associated with the page is extracted. A single instance of the client-side executable code is injected at an optimized location of the page. The page that includes the single instance of the client-side executable code is provided.

In one aspect, an example method includes (i) obtaining a set of user attributes for a user of a content-presentation device; (ii) based on the set of user attributes, obtaining structured data and determining a textual description of the structured data; (iii) transforming, using a text-to-speech engine, the textual description of the structured data into synthesized speech; and (iv) generating, using the synthesized speech and for display by the content-presentation device, a synthetic video of a targeted advertisement comprising the synthesized speech.

A system and method directs promotional information, such as coupons of possible interest to a user, when they release their cloud-stored print job from a multifunction peripheral at their selected location. The user is identified, along with their location, and promotional information of possible relevance to the user is displayed on the multifunction peripheral touchscreen. Information selected by the user will be printed out along with their released print job. Businesses register and store their promotional information with the cloud print server, and may be assessed a fee when their literature is printed.

Disclosed is a web 3.0 orchestration system that creates a token economy through which customers are able to establish relationships and purchase physical and digital goods and services from any merchant at any place without having to access the physical or digital storefront of the merchant. The orchestration system may receive a triggering event from a user device, may compile user data from user profiles that are associated with the user device, and may select a distributed set of smart contracts defined by different merchants based on the triggering event. The orchestration system may execute the distributed set of smart contracts using the user data as inputs, may select offerings from a set of merchants based on the output generated from executing the smart contracts, and may present the offerings to the user device as part of facilitating a transaction between the user device and any of the merchants.