Abstract: A method for confirming post-authorization erasure of a transaction payment using reward points includes: storing account profiles including data related to reward accounts, each including an account identifier and point amount; receiving a transaction message associated with a payment transaction, the message including a specific account identifier and transaction amount; identifying a specific account profile that includes the specific account identifier; calculating a point cost based on the transaction amount; identifying an authorization reference key associated with the payment transaction and specific account profile; identifying a unique identifier associated with the authorization reference key; storing an authorization record including authorization reference key and unique identifier; generating a request message including the identified unique identifier one of: the point cost and transaction amount; and transmitting the request message to a consumer associated with the specific account profile.

Abstract: By way of example, various methods for reproducing advertisements using a plurality of advertisement vehicles as well as controlling the plurality of advertisement vehicles are provided. In one example, a method for controlling a plurality of advertisement vehicles is provided as follows. Initially, information on the plurality of advertisement vehicles that are going to carry out a specific event is verified. Information on the specific event is sent to the plurality of advertisement vehicles and real-time traffic and/or people density information in an area in which the specific event is to be carried out is collected. A starting location of the specific event may also be determined based on at least one of: the real-time traffic density information or real-time location information of the plurality of advertisement vehicles.

Abstract: The present disclosure relates to digital experience development platforms and, more particularly, one or more components, systems and methods thereof of an intelligent digital experience development platform (IDXDP) configured to assist different users in the development, design and deployment of digital applications. A computer-implemented method comprises: receiving, by a computing device of a cloud-based campaign system, a campaign for products or services from a marketing system via a network; providing, by the computing device, the campaign to one or more participants on the network; obtaining, by the computing device, feedback from the one or more participants regarding the campaign; analyzing, by an artificial intelligence tool of the computing device, the feedback to generate marketing analytics information; and providing, by the computing device, the marketing analytics information to the marketing system via the network.

Abstract: A computer-executable method, a computer system and a non-transitory computer-readable medium are provided for causing electronic marketing communications of one or more promotions to be generated on a mobile computing device associated with a consumer. A method includes programmatically retrieving promotion data indicative of a plurality of promotions from a computer memory. The method includes determining, using processing circuitry, a promotion score for each of the plurality of promotions. Each promotion score is determined based on consumer profile data, stored consumer activity data, and at least one of: current consumer activity data, current local context data, or predicted consumer activity data. The method further includes outputting indications configured to generate electronic marketing communications associated with the plurality of promotions based on the promotion scores of the plurality of promotions.

Abstract: A system for training and applying deep learning to generate offer recommendations within a payment card network includes a propensity engine configured to train a machine learning model using neural collaborative filtering. The model is trained based on payment card transaction data providing indications of cardholder interactions with merchants, the model is configured to generate offer recommendations for cardholders of payment cards made available by merchants. The system also includes a model serving engine configured to apply available offer data to the model, thereby generating a set of offer recommendations matching one or more available offers with one or more cardholders. The system also includes an execution and fulfilment engine configured to deliver an available offer to a cardholder and fulfill the available offer when activated by the cardholder.

Abstract: Embodiments provide a computer-executed method, a computer system and computer program product for initiating a command. The method includes causing a consumer input definition interface to be displayed on a visual display of a computing device associated with a consumer, wherein the consumer input definition interface includes an indication of a command. The method also includes, while the consumer input definition interface is displayed, receiving input definition data defining a consumer interaction by the consumer. The method also includes generating a compound consumer input based on the input definition data, and associating the compound consumer input with the command and the consumer. The method further includes storing the association between the compound consumer input and the command on a non-transitory storage device so that receipt of the compound consumer input from the consumer automatically initiates the command.

Abstract: The present teaching relates to obtaining a model for identifying content matching a query. Training data are received which include queries, advertisements, and hyperlinks. A plurality of subwords are identified from each of the queries and a plurality of input vectors for the plurality of subwords of each of the queries are obtained and an input vector for each of the queries is derived based on a plurality of input vectors of a plurality of subwords of the query. A query/ads model is optimized with respect to an objective function via training an input vector for each of the plurality of subwords associated with each of the queries, an input vector for each of the advertisements and links, and a matrix.

Abstract: Methods and systems for generating an optimal clearance schedule for inventory items in a retail enterprise. A method includes accessing historical sales data for a plurality of inventory items in a department of a retailer. A selection of an item is received and a set of possible discount schedules for the item are generated. Each schedule includes a set of prices and a price duration. A forecasting tool provides a sales performance of the item based on the historical sales data. An optimal clearance schedule is selected from the possible discount schedules.

Abstract: A method of enhancing a user interface of a network-based publication system based on seasonality scores associated with items featured in listings posted on the network-based publication system is disclosed. Seasonality data is generated for each of the items. The generating of the seasonality data includes identifying a season corresponding to transaction data pertaining to each of the items and storing the seasonality data in conjunction with the transaction data in a database. The season pertains to a selected user action that is to result in a presentation of a user interface on a device of the user. Seasonality scores are calculated and associated with the items featured in a subset of the listings that are candidates for inclusion in the presentation of the user interface. Relevancy scores are adjusted for each of the candidates and are incorporated into a presentation of the listings in the user interface.

Abstract: A method and associated system of producing an advertising campaign of a product for an online marketplace seller including, under control of one or more processors configured with executable instructions, generating a single keyword advertising campaign of the product; collecting data on the single keyword; executing a machine learning component of an adaptive machine learning platform to generate a machine learning component output based at least in part on the data on the single keyword; generating a behavioral curve or table relating to an advertisement bid value and a cost per click value based at least in part on the machine learning component output; generating sales goal(s) of the product for the online marketplace seller on the online marketplace; generating an optimized advertisement bid value based at least in part on the sales goal(s) and the behavioral curve or table; and generating an optimized advertising campaign therefrom.

Abstract: Techniques are disclosed for determining application experience of a user. One embodiment presented herein includes a computer-implemented method, which includes receiving, at a computing device, eye tracking data of a user interacting with at least a first page of an application. The computer-implemented method further includes determining, based at least on the eye tracking data, at least a current user experience regarding the first page. The computer-implemented method further includes predicting, based on evaluating the current user experience, that the user is likely to discontinue use of the application. The computer-implemented method further includes determining, based at least on the prediction, an intervention that reduces a likelihood of the user discontinuing use of the application, and interacting with the user according to the intervention.

Abstract: An example operation may include one or more of receiving an identification of vendor resources held by each of a plurality of members of a social network, extracting respective preference information of the plurality of members from web pages associated with the plurality of members on the social network, automatically determining to exchange resources of a first vendor issued to a first member of the social network with resources of a second vender issued to a second member of the social network based on extracted preference information of the first and second members, and triggering execution of the exchange of resources via one or more blockchain computing networks associated with the social network.

Abstract: Techniques for inserting advertising content into digital content are disclosed. The system may determine a compatibility between advertising content and digital content, determine candidate advertising content and candidate digital content using the determined compatibility, determine that the candidate digital content includes an advertising zone specifying an area where advertising content may be inserted, determine that an advertising slot of the candidate advertising content matches the advertising zone, and select digital content from the candidate digital content. The system may further select advertising content from the candidate advertising content, and combine selected digital content and selected advertising content by inserting the selected advertising content into the advertising zone.

Abstract: Apparatus and methods for generating secondary content scheduling and product offerings for users of a managed content distribution network, such as a cable, satellite, of HFCu network. In one embodiment, the secondary content comprises advertising content to be distributed across a plurality of content networks carried by the managed content distribution network. A plurality of computerized models (including various simulations) are generated based on various data sources, including historical tuning event data for the managed network's subscribers), and subsequently implemented to structure advertising schedules or campaigns (“bundles”) for each customer in a substantially automated fashion, and that will achieve the desired level of performance specified by the customer, consistent with their budget.

Abstract: A system for processing a digital promotion may include a mobile device associated with a user. The system may also include a digital promotion server configured to cooperate with the mobile device to determine a geographic location. The digital promotion server may determine potential redemption locations based upon the geographic location and cooperate with the mobile device to display thereon the potential redemption locations and cooperate with the mobile device to prompt the user to determine a selected redemption location from among the potential redemption locations. Based upon determining the selected redemption location, the digital promotion server may generate a digital promotion for redemption at the selected redemption location and communicate the digital promotion to the mobile device, and generate a user identifier associated with the user and the digital promotion and communicate the user identifier to the selected redemption location for redemption of the digital promotion.

Abstract: A system and method for diminishing latency in processing reward payments to users using automated clearing house transactions linked to user accounts to direct and adjust user compensation, thereby removing dependency on advertiser refund period expiration and resultant sale value and commission locking for purchases made by users. The system and method enable truncated payment cycles without increasing publisher liability associated with advertiser commission modification.

Abstract: A system for providing context sensitive display overlays to a mobile device via a network comprising an overlay datastore, a processor, coupled to the datastore and programmed to receive a request from a mobile device via the network for a list of overlays, determine user context information, search the datastore for overlays matching the user context and provide the list of overlays to the mobile device via the network.

Abstract: Systems, methods, and devices of the various embodiments may provide for dynamic ad insertion. Systems, methods, and devices of the various embodiments may enable Video-On-Demand (VOD) dynamic ad inventory handling by a network operator. Systems, methods, and devices of the various embodiments may enable augmenting network operator VOD ad inventory in a VOD session.

Abstract: Methods, systems, and computing devices for determining a price of a good during a time period are described. The method includes scanning, via a scanner coupled to a computing device or a server, a readable identification tag affixed to the good and querying the computing device or the server to identify, from the readable identification tag, the good and information associated with the good. The information comprises one or more price-calculation factors assigned to the good. The method further includes applying an algorithm of a dynamic pricing engine to the identified good to: calculate a price of the good and modify the calculated price of the good to optimize a target function. The optimization depends on the one or more price-calculation factors. The method further includes transmitting the optimized price of the good to a display for display to a customer.

Abstract: Systems and methods provide real-time machine learning modeling, evaluation, and visualization. A computing system can receive input values for attributes of a new item listing. Concurrently, the system can analyze previous related item listings. The system can process the attributes and associated values of the new listing and previous listings to extract features and associated values. The system can apply the features of previous listings to machine learning algorithms to generate a machine learning model directed towards a target objective, such as maximizing a selling price or a selling probability for the new listing. The system can determine a likely outcome of the new listing by applying user-input values to the model and alternative outcomes by substituting one or more user-input values. If the alternative outcomes represent better results, then the system can present suggestions to revise the new listing to replace one or more user-input values with substitute values.