Abstract: Embodiments provide computer apparatuses, computer systems and computer-executable methods for recommending a commercial item or entity to a consumer based on geographic zone data. The method includes receiving a first predetermined geographic zone, a first importance score associated with a consumer for the first predetermined geographic zone, and a second importance score associated with a commercial item or entity for the first predetermined geographic zone. The method also includes programmatically generating an overlap score based on the first and second importance scores, and programmatically generating a relevancy score based on the overlap score, the relevancy score indicating a probability that the commercial item or entity is of relevance to the consumer. The method further includes, based on the relevancy score, transmitting instructions to a computing device associated with the consumer to cause the computing device to render a representation of the commercial item or entity.

Abstract: Systems and methods are provided to ingest data objects from a flat file server for use in one or more system operations including providing a renderable data object to a user and updating a data item database. As described, the ingestion system includes an ingestion module, a flat file module, a compliance module, and a deduplication module wherein the modules together ingest a flat file data object, parse and process a renderable data object from the flat file data object, and store the renderable data object in a renderable object database.

Abstract: The present disclosure relates to methods, systems, and apparatuses for providing electronic communications to client devices based on clustering and filtering candidates for inclusion in the electronic communications based on programmatically generated correlation metrics and thresholds associated with the clustering.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media to forecast demand by implementing an online demand prediction framework that includes a hierarchical temporal memory network (HTM) configured to learn temporal patterns representing sequences of states of time-series data collected from a set of one or more data sources representing demand and input to the HTM. In some embodiments, the HTM learns the temporal patterns using a Cortical Learning Algorithm.

Abstract: Various methods are provided for facilitating access to linked information to GPS or short-range wireless equipped devices. One example method may comprise receiving, via a network, an indication of an interaction between a primary device and a third-party device, the indication comprising at least a first element and a second element, the first element indicative of user identification information and the second element indicative of at least one of a location or a bounded region, determining, as a function of at least the first element and the second element, a data object that upon validation is configured for use a subsequent interaction, and transmitting, to a mobile device, an electronic communication comprising an indication, configured for rendering on the mobile device, of the data object.

Abstract: 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.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media configured to use a per-set level optimization of the rank order of promotions to be recommended to a consumer. In some embodiments, machine learning is used offline to generate a predictive diversity model that receives one or more similarity rank features associated with a promotion (e.g., category, price band) as input, and produces an output multiplier to be applied to the promotion's respective associated relevance score (e.g., a relevance score representing a prediction of the promotion's conversion rate without diversity features). At run time, per-set optimization of the ordering of a set of promotions is implemented by adjusting the respective associated relevance scores of the promotions using the diversity model and then re-ordering the set of promotions based on their respective adjusted relevance scores.

Abstract: Methods, apparatuses and computer program products for implementing dynamic retry of a resource service in a network system are provided. An example method may include: transmitting a first service request to the resource service, determining a first service availability indicator, calculating a first service availability estimate associated with the resource service based on the first service availability indicator, and determining whether to transmit a second service request based on the first service availability estimate. The example method may be repeated by an example apparatus continuously for each transmitted service request.

Abstract: A method, apparatus, and computer program product are disclosed to improve generation of electronic communications. The method may include providing a plurality of content slots each configured to receive content. The method may also include maintaining a database comprising a plurality of content generators, and determining, using a processor, one of the plurality of content generators for providing content to each of the plurality of content slots. The determining the one of the plurality of promotion content generators or non-promotion content generators may include providing a first content generator of the plurality of content generators with a set of selection parameters, and receiving a first bid for one of the plurality of content slots from the first content generator. The first content generator may determine the bid based at least in part on the set of selection parameters.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for data record compression using graph-based techniques. An example method includes determining a plurality of index components; generating a sorted data record list of a plurality of compound data records; generating an ordered unique index component value list associated with a plurality of unique index component values; assigning a plurality of encodings to the plurality of unique index component values; and generating the compressed data record list based on the ordered unique index component value list and the plurality of encodings.

Abstract: An apparatus, system, and method are provided herein to provide simultaneous delivery of output communications to a client device and a secondary client device are discussed herein. Some embodiments may include an apparatus including processing circuitry configured to: receive one or more electronic communications; configure the one or more electronic communications for presentation to the client device and the secondary client device based on the delivery identifier; and provide the one or more electronic communications to the client device via a wide area network to facilitate simultaneous delivery of the one or more output communications corresponding to the one or more electronic communications on the client device and the secondary client device. The one or more output communications may be provided to the secondary client device via the client device and a personal area network that is separate from the wide area network.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for identifying a new business based on programmatically analyzing content received from online sources and, as a result, discovering one or more references to the business. In embodiments, the system stores historical data representing previously identified new businesses and then uses attributes of those businesses in search queries to receive related content. Additionally or alternatively, the system stores data representing online sources that historically provided content containing references to new businesses and then continues to access those sources for additional content. In embodiments, the system performs content analysis on structured and/or unstructured content.

Abstract: Systems, apparatus, methods, and non-transitory media for providing prescient and adaptive point-of-sale services via electronic networks are discussed herein. Some embodiments may include a system with one or more servers. The one or more servers may be configured to generate digital consumer tokens and provide the digital consumer tokens to consumer devices for sharing with merchant devices. When a merchant device receives the digital consumer token, the merchant device may forward the digital consumer token to the one or more servers in exchange for consumer data to facilitate consumer service. In some embodiments, the one or more servers may be configured to provide point-of-sale interfaces that adapt to different consumer preferences or consumer device signals. Some embodiments may provide for consumer interfaces that allow consumers to manage their electronic identity at various (e.g., merchant) locations.

Abstract: The present disclosure relates to methods, systems, and apparatuses for determining item recommendations and receiving dynamic modifications to an item recommendation algorithm. The method includes receiving electronic data indicating a set of items, generating, using a recommendation engine executing on a processor, a first set of one or more item recommendations from the set of items, causing a client interface to be generated, the client interface comprising the one or more item recommendations and a plurality of interface controls, wherein selection of one of the plurality of interface controls causes a weight adjustment indication to be transmitted for at least one of the plurality of weights, receiving the weight adjustment indicator, adjusting at least one weight of the plurality of weights associated with the weight adjustment indicator, and generating a second set of one or more item recommendations using the adjusted at least one weight.

Abstract: Computing systems, computing apparatuses, computing methods, and computer program products are disclosed for machine learning ranking. An example computing method includes receiving a search query and determining a plurality of machine learning model execution engines based on the search query and a plurality of search result types. The example computing method further includes generating a plurality of subsets of search results based on the search query and the plurality of machine learning model execution engines. The example computing method further includes generating a set of search results comprising at least one search result from each of the plurality of subsets of search results.

Abstract: Provided herein are method, apparatus, and computer program products for automatically outputting a wearer interface or a redemption interface. The wearer interface and the redemption interface may contain information related to a wearer of a wearable device and a provider respectively. The wearable device may reference a merchant redemption parameters database to facilitate the output of the redemption interface, and the wearable device my reference a wearer parameters database to facilitate the output of the wearer interface. Both the wearer interface and the redemption interface may be displayed on the wearable device by an interactive display.

Abstract: A system can determine that a mobile device, located at a physical place of business transmits a first electronic communication for redemption of an electronic offer at the physical place of business. The system can further detect a second electronic communication transmitted from the mobile device, which indicates a first identifier. The first identifier can be associated with a verifier of the electronic offer (e.g., a staff member) at the physical place of business. The system can further determine, based on analysis of the first identifier, a second identifier (e.g., contact data, a telephone number, etc.), that corresponds to the verifier, without providing the second identifier to the mobile device. The system can further electronically transmit, utilizing the second identifier, a third electronic communication that indicates information about the redemption of the electronic offer.

Abstract: The method, apparatus, and computer program product provided herein provide for distribution of customized content to displays in a network. A display may receive video content for display from a transceiver device. Channel configurations may be user-configured to include content from any number of sources. Channel content may be generated based on a channel configuration to incorporate identified content and the channel content may be provided to transceiver devices. Alert messages may be pushed to channels, and takeovers of transceiver devices to stream a particular channel may be performed.

Abstract: A promotion offering system and method is disclosed. The promotion offering system and method selects consumers for a test promotion that has one or more attributes, and is configured to generate test data for multiple consumer groupings. The promotion offering system and method may use the test data in analyzing whether to send a promotion to a consumer. For example, the promotion offering system and method may use one algorithm to generate a list of ranked promotions, and may use the test data in order to adjust the list of ranked promotions (such as replacing a highest ranked promotion with another promotion).

Abstract: Provided herein are method, apparatus, and computer program products for facilitating a learning user interface. The interface may be presented as a plurality of dynamic icons representing a plurality of items. The plurality of dynamic icons may include at least one suggested dynamic icon representing at least one suggested item of the plurality of items and at least one secondary dynamic icon representing a secondary item of the plurality of items. The interface may be facilitated by determining, via a processor, a visual bias for the at least one suggested dynamic icon relative to the at least one secondary dynamic icon. The interface may be facilitated by applying the visual bias, via the interface, to the at least one suggested dynamic icon.