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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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 method, apparatus, and computer program product are disclosed. The method includes calculating hidden demand for one or more time slots, the one or more time slots defining a time duration during which a performance of a service offered by a promotion and marketing system can be performed. The method further includes determining a booking limit for each time slot of the one or more time slots based on the calculated hidden demand for the time slot and a determined capacity for the time slot, determining that one or more of the time slots comprise available time slots based on a comparison of the booking limits for the one or more time slots to a number of bookings for each of the time slots, and displaying the one or more available time slots in conjunction with the particular promotion A corresponding apparatus and computer program product are also provided.

Abstract: A method, apparatus and computer program product are provided for calculating closing metrics regarding a contract between a promotion service and provider. A promotional system may calculate a probability of closing, and an estimated time to close. The promotion service may offer a promotion to consumers for a discounted product or service, to be honored by the provider. A category, lead source, historical data, stage in sales, and/or size of the provider may be used in calculating a probability of close and/or time to close. An example method may comprise supplying a classifying model with a dataset, wherein the dataset comprises an identification of a provider and attributes corresponding to the provider and identifying a class of the provider in accordance with the plurality of corresponding attributes, wherein the identification is determined based on one or more patterns determinative of a return rate by the classifying model.

Abstract: The pull-type searching system provides an effective and efficient way to navigate deals and assist the user in identifying a deal for selection. The pull-type searching system further enables identification of one or more alternative deals to present to the user when no deals are identified for the selected search criteria. The pull-type searching system includes a method and apparatus. The method includes communicating ordered selectable search criteria, the search criteria including one or more categories, subcategories and deal types based on a user profile or available deals, or redemption goals. The method further includes receiving a selection from the search criteria and searching a deals database for results associated with the selection. Further, the method includes communicating the results associated with the selection, one or more alternative categories, or one or more alternative deals. A similar apparatus is provided.

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: 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.