Abstract: A system for determination of a revenue share of a mobility player (MP) of a MaaS network is disclosed. An MP node of the MP is on-boarded to a node package of the MaaS network and gets associated with a MaaS node of the node package, based on an on-boarding process. The on-boarding process includes a definition of a service structure including configuration data of the MP and a signing off of the MP node to a service agreement and a privacy policy associated with the MaaS network based on terms of service of the service agreement. Once, the MP node is on-boarded to the node package, the MaaS node and/or one or more external nodes, such as, a plurality of aggregator nodes and a central MaaS node may determine a revenue share of the MP based on receipt of a trigger event associated with the node package.

Abstract: A server apparatus and the like that improve operation efficiency of a marketplace for trading products are provided. The server apparatus includes a communication interface, and a controller configured to transmit and receive information to and from another apparatus via the communication interface. The controller calculates a time required until sale of a product at a display position based on a temporal change in captured images of the display position where the product is displayed until the product is sold, determines an exhibition fee for the display position based on the time required, informs a terminal apparatus of an exhibitor of the exhibition fee, and urges the exhibitor to exhibit the product for sale at the display position.

Abstract: A method for creating a unique digital experience based upon meeting a predefined threshold of users within a system comprising: detecting a machine-readable code with a user device and determining an identification of a user, the user device, or both; determining whether the identification of the user device contains a unique ID by querying a server; wherein if no unique ID is identified, issuing the unique ID to the user device; storing the unique ID within a database; determining a threshold of users for the system, wherein unique digital coupons are held until the meeting of said threshold; meeting said threshold and generating a unique digital coupon, said digital coupon being unique to the unique ID; and delivering the unique digital coupon to said user device.

Abstract: In one implementation, a system for providing product suggestions to provide to a customer during a checkout process at a retail store includes a checkout configuration that includes a point of sale terminal, a scanner to scan products, a scanning preparation area where products to be scanned are positioned, and a customer-facing device. The system can further include one or more product sensors to capture and transmit product signals. The system can also include a product identification system that is programmed to identify the products contained in the scanning preparation area. The system can further include a product recommendation engine that is configured to identify contents of a customer cart from the products contained in the scanning preparation area; determine product recommendations based, at least in part, on the contents of the customer cart; and transmit the product recommendations to the customer-facing device for display to the user.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media presentations are disclosed. An example tangible computer readable storage medium includes instructions that, when executed, cause a machine to at least provide a panelist meter to a media device, the panelist meter including a web server to serve a panelist identifier on a local network of a device, provide a software development kit to a media provider, the software development kit to enable the media provider to create monitoring enabled media to request the panelist identifier from the web server of the panelist meter using a web protocol request, transmit the panelist identifier in response to a request from the panelist meter, the request including demographic information associated with a user of the media device, and collect media monitoring data from the monitoring enabled media.

Abstract: A system for evaluating health risk is provided. The system may be configured for requesting first data from a merchant associated with a user and second data from an activity tracking service associated with the user. The system may also comprise analyzing the item to determine a first health impact for the item based on the item and demographic information associated with the user. The system may further comprise analyzing the level of activity to determine a second health impact from the level of activity based on the level of activity and the demographic information associated with the user. The system may further comprise selecting an advertisement based on medical data, and at least one of the first health impact, the second health impact and the demographic information associated with the user.

Abstract: A computer-implemented method of generating predicted energy consumption data for a first energy consumer based on energy consumption data of a plurality of further energy consumers is disclosed. Prediction is based on a set of training samples, each training sample comprising predictor attribute data and energy consumption data for a respective one of the further energy consumers, as well as one or more predictor attribute values for the first energy consumer. A predictive model is generated based on the training samples, the predictive model defining a relationship between values of predictor attributes and energy consumption data of the training samples. Predicted energy consumption data for the first energy consumer is then determined using the predictive model and the predictor attribute values. A method of clustering energy consumption profiles is also disclosed.

Abstract: Systems and methods to at least provide rewards using a smart contract are disclosed.

Abstract: A machine-learning algorithm is trained with features relevant to a visual/video analysis performed on subjects conducting transaction at transaction terminals. The algorithm is also trained on weather data known at the time of the transactions and on selective details of the transactions. The algorithm produces as output predictions relevant to: whether a given subject for a current transaction is likely to enter a store, likely items that the given subject might purchase if the subject were to enter the store and likely amount of money that the subject would spend in the store, an effectiveness of providing an incentive for the subject to enter the store, and what type of incentive would most likely entice the subject to enter the store.

Abstract: Systems and methods for gamification-based engagement are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for gamification-based engagement, may include: (1) receiving, from a plurality of data sources, customer activity data comprising customer behavioral data and customer transactional data for a plurality of customers; (2) generating a dynamic customer profile for each of the customers based on the customer activity data and the customer transactional data; (3) retrieving challenge data for a challenge comprising an identification of a plurality of tasks to be completed, an order in which the tasks are to be completed, and an incentive for completing the tasks; (4) dynamically matching one of the customers to the challenge; (5) issuing the challenge to the customer; (6) tracking the customer's response to the challenge; and (7) updating the customer's dynamic customer profile based on the customer's response.

Abstract: There are provided systems and methods for a computational platform using machine learning for integration data sharing platforms. A user may engage in a transaction with another user, such as a purchase of goods, services, or other items from a merchant. A service provider may provide a data feed to the user via integrated computational platforms that allows the user to post data including information regarding the processed transaction. The post may include a share code that links back to the user and their corresponding transaction. Thereafter, the post may be viewed by other users and the share code may be used by the other users in order to perform similar transaction processing, where these later transactions are linked back to the original user. Tracking of these later transactions may be done through application extensions that allow the computational platforms to track user data over different online interactions.

Abstract: A system is provided for interpretable viewing interest. A transformer with multi-head self-attention derives different hierarchical orders of input features. Hierarchical attention layers (i) aggregate the different hierarchical orders to obtain aggregated single-order feature representations and (iii) derive aggregation attention weights for the different hierarchical orders based on an applied order of the hierarchical attention layers. An attentional scoring layer evaluates the aggregated representations to output a significance of each order with respect to various CTR predictions. A hierarchical interpretation layer determines a respective importance of each input feature in various combinations from which the various CTR predictions are derived based on the aggregation attention weights and the significance of each order.

Abstract: The present principles are directed to systems and methods for providing a trading system cooperatively integrated with manufacturing control and distribution systems, and, more specifically, to provide a trading, clearance, settlement, and depository for securities, commodities, and their derivatives (collectively “securities”) that utilize asset-backed, virtualized data tokens and blockchain technology to facilitate price discovery and automated transactions at all stages of the asset development, manufacturing, and distribution of commodities.

Abstract: Disclosed is e-commerce processing for an event-centric online shopping transaction. The e-commerce processing involves receiving an identification or selection of an event from a device of a customer, and the disclosed methods and systems use the identified and/or selected event to populate, without item-related input from the customer, an online shopping cart with items for purchase in an e-commerce computing environment. The e-commerce processing can be accomplished without any party to the transaction having to add items to the online shopping cart on an item-by-item basis.

Abstract: In some examples, personality trait-based customer behavior prediction may include extracting personality features from images associated with a user. Social style features may be extracted from social data associated with the user. Consumer demographics features may be extracted from consumer demographics data associated with the user. Based on a probability analysis of the extracted features, relevant features may be selected from the images, the social data, and the consumer demographics data. Historical purchase features may be extracted from historical purchase data associated with the user. At least one machine learning model may be trained based on the extracted features, and used to generate a next best offer for the user for purchase of a product or a service. A purchase of the product or the service may be performed based on the generated offer.

Abstract: Embodiments are directed to the tracking of data in a generative adversarial network (GAN) model using a distributed ledger system, such as a blockchain. A learning platform implementing a classification model receives, from a third party, a set of data examples generated by a generator model. The set of data examples are processed by the classification model, which outputs a prediction for each data example indicating whether each data example is true or false. The distributed ledger keeps a record of data examples submitted to the learning platform, as well as of predictions determined by the classification model on the learning platform. The learning platform analyzes the records of the distributed ledger, and pairs the records corresponding to the submitted data examples and the generated predictions determined by the classification model, and determines if the predictions were correct. The classification model may then be updated based upon the prediction results.

Abstract: A system and method for determining a result that includes a solution for a discrete non-linear optimization model for an optimization problem is disclosed. A non-linear relationship between a key performance indicator (KPI) to be optimized and at least one decision variable is determined using econometric modeling. A discrete optimization framework for the optimization problem is determined using a plurality of discrete values of decision variables of the optimization problem. A binary optimization framework is determined from the determined discrete optimization framework based on automatically revising an optimization equation of the discrete optimization framework. A continuous framework is determined from the determined binary optimization framework based on imposing additional constraints and based on modifying the optimization problem. The result is generated, and an action is controlled based on the result.

Abstract: Systems and methods are provided for generating and provisioning personalized news feeds for athletes. One embodiment is a system that receives metrics for exercise activities performed by athletes. The system generates records of the exercise activities of the athletes based on the metrics, determines a type of exercise for each record, classifies the records based on corresponding types of exercise, and compiles a fitness history, for each athlete, comprising records of exercise activities performed by the athlete. For each of the athletes, the system generates a digital news feed for the athlete, identifies categories of engagement for the athlete based on types of exercise indicated in the fitness history of the athlete, selects articles from a repository, personalizes the digital news feed for the athlete by populating the digital news feed with the selected articles, and transmits the digital news feed to a user device.

Abstract: A system and method for providing personalized recommendations or promotional information to consumers based upon a recommendation algorithm selected from a number of recommendation algorithms, by matching personal contextual information of each consumer to detailed contexts in which each recommendation algorithm exhibits optimal performance with regard to particular business performance measures.

Abstract: A shared vehicle management device manages shared vehicles located in an area where a user is present. The area includes multiple zones differing from one another, and each of the zones includes one or more parking lots. The shared vehicle management device includes a controller configured to prompt the user to select a zone including a parking lot where the user will start use of a shared vehicle or return the shared vehicle, a use history acquisition unit, a demand calculator, a supply calculator, and a zone setting unit configured to determine the parking lots included in each zone so as to minimize a value obtained by adding differences between the demand for shared vehicles and the supply of shared vehicles in each zone included in the area.