Abstract: A computing device provides a task user interface that includes a first task for a driver a first location associated with the first task of a transport service. The device determines that a current location of the computing device is within a threshold distance or a threshold estimated travel time from the first location and provides a task panel including information specific to the first task, one or more selectable sub-task features, and a selectable feature that the driver selects to indicate that the first task has been completed. The device can receive a user input corresponding to a selection of the selectable feature and provide a second task of the transport service a second location associated with the second task.

Abstract: The present disclosure describes transaction-enabling systems and methods for enabling machine resource transactions. A system can include a machine having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement; and a controller. The controller can include a resource requirement circuit to determine an amount of a resource for the machine to service task requirement, a resource market circuit to access a resource market, and a resource distribution circuit to execute a transaction of the resource on the resource market in response to the determined amount of the resource.

Abstract: Methods, systems, apparatus, and computer programs, for generating transaction trigger data structures for aggregated reporting.

Abstract: Apparatus and methods for collecting information may include receiving one or more inputs of information related to a business experience. In addition, the apparatus and methods may include storing the received business information. The methods may also include analyzing the received information to generate one or more targeted recommendations; and forwarding the one or more targeted recommendations to management of the business.

Abstract: Systems and method for improved consumer and portable consumer device authentication are disclosed. Such systems and methods may include using dynamic verification values, challenge questions, and consumer notification as ways to prevent fraudulent transactions from being conducted.

Abstract: When sharing events between users, the sharing users and the recipient users often have different relationships with details of the events. An event structurer enables sharing users to share events via a single user interface with recipients and tailor what aspects of the events are shared, thus ensuring the relevant portions of the events are properly presented to new recipients based on their new relationship with the event's details.

Abstract: Systems and methods for forward market renewable energy credit prediction from business entity behavior data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market. The example system may include wherein the forecast is based at least in part on a business entity behavior collected from at least one business entity behavioral data source, and wherein the energy credit comprises a renewable energy credit associated a renewable energy system. The example system may further include a smart contract circuit to perform at least one of selling the renewable energy credit or purchasing the renewable energy credit on the forward energy credit market in response to the forecasted forward market price.

Abstract: Described herein are systems and methods for extracting requirements from regulatory content data. The method including: receiving the regulatory content data; classifying an associated type for each citation in the regulatory content data using a trained classifier machine learning model, the classifier machine learning model trained using regulatory content data including expert labelled annotations; splitting citations in the regulatory content data, including determining whether each citation includes more than one requirement; merging one or more citations in the regulatory content data, including identifying child-parent relationships for the citations and merging citations based on conjunctive language; and outputting the citations and their associated type. In a particular case, the types of citations for classification include one of a requirement (REQ), an optional or site-specific requirement (OSR), a description (DSC), and part of another requirement.

Abstract: The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit structured to determine an amount of a resource for each of the machines to service at least one of the task requirements, a resource market circuit to access a resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the resource market in response to the determined amount of the resource for each of the machines.

Abstract: The present invention supports the entry of customer experience feedback into the system, which then conducts real-time automated filtering and evaluation of feedback entered by the customer and supports the transmission of real-time notifications to selected personnel based on feedback evaluation in a flexible messaging and workflow system. The present invention supports that ability to obtain constructive feedback, either good or bad, regarding a customer's experience while the customer is still at the service provider or retail sales location and supports the ability to obtain feedback after the customer has left the service provider or retail sales location through follow-up messages.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for testing a plurality of variants among a plurality of users. One of the methods includes: determining a spatial granularity to divide an area into a plurality of grid cells; randomly splitting the plurality of grid cells into a plurality of testing groups, wherein a quantity of the plurality of testing groups is determined based on a quantity of the multiple versions of the feature to be tested; determining a temporal granularity to divide a testing period into a plurality of testing intervals; during each of the plurality of testing intervals, respectively assigning the multiple versions of the feature to the plurality of testing groups; and obtaining a treatment effect for each of the multiple versions of the feature and determining an optimal version of the feature.

Abstract: Systems and methods for prediction of forward market renewable energy credit from automated agent behavioral data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market, and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market, based in part on an automated agent behavior collected from an automated agent behavioral data source. The example system may further include wherein the energy credit comprises a renewable energy credit from a renewable energy system, and a smart contract circuit to sell the renewable energy credit or purchase the renewable energy credit on the forward energy credit market in response to the forecasted forward market price.

Abstract: Systems and methods for predicting forward market pricing for renewable energy credit based on human behavioral data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market where the forecast is based at least in part on a human behavior information collected from at least one human behavioral data source. The example system may further include wherein the energy credit includes a renewable energy credit associated with a renewable energy system, and a smart contract circuit to perform at least one of selling the renewable energy credit or purchasing the renewable energy credit on the forward energy credit market in response to the forecasted forward market price of the energy credit.

Abstract: An automatic service monitor in an information-technology environment performs regular search queries against generated machine data to derive performance measurements. The information technology environment is defined in terms of services provided by entities, and the performance measurements are defined as key performance indicators (KPIs) of the services. Generated machine data used by the search queries pertain to the entities performing the service. Definitional information for the services, entities, and KPIs is administered by a user to control the operation of the service monitor. Various aspects of such definitional information as well as related performance measurement information may be presented in a unified console display tailored to, and organized around, a particular service. The console display may serve as a central launch point by supporting user interaction to navigate to other specialized monitoring interfaces.

Abstract: Techniques for scoring data items using a machine-learned model are provided. In one technique, multiple skills are identifying based on a job posting. Multiple attribute values of the job posting are identified. For each identified skill, multiple probabilities are identified, each probability corresponding to a different attribute value of the identified attribute values. The probabilities are input into a machine-learned model to generate multiple scores. Multiple skills of a candidate user are identified. An affinity score between the job posting and the candidate user is generated based the scores and the skills of the candidate user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for technology assessment and selection. In some implementations, study data indicating parameters of a research study or an objective of a research study is received. Types of data to be collected during the research study are identified. Technology options that each represent one or more technology items that can provide the data to be collected are identified. A suitability score for each of the technology options is determined. A selection is made from among the technology options based on the suitability scores. Output data that indicates the selected technology options for the research study is provided.

Abstract: A method and system for generating Customer Decision Tree (CDT) for an entity in accordance with an attribute value (AV) based demand transfer estimation for a product category using machine learning, is disclosed. The method includes aggregating very high volume of data associated with a plurality of AVs of a product category at a plurality of aggregation levels. Further, generating a data matrix, which represents data is a structured format for machine learning, at a predefined aggregation level for the product category and generating a prediction model with the data matrix to determine predicted AV sales for each AV at the predefined aggregation level. Further, optimizing the trained prediction model. Thereafter, generate the CDT utilizing the optimized prediction model, a Demand Transfer (DT) estimator, a scenario generator and a hierarchy generator. Machine learning based DT is more accurate, effectively generating more accurate CDT tree.

Abstract: A method and system for filtering service requests by destination and deadline are described. A network computer system receives provider data corresponding to a specified destination and a deadline from a service provider. The network computer system tracks a current location of the service provider through a device equipped with one or more location-based resources and receives request data corresponding to requests for service from users. The network computer system analyzes the request data for each of the requests for service to identify a subset of the requests that are assignable to the service provider based on whether the service provider is able to fulfill the request and travel to the desired destination before the deadline. The network computer system transmits a message to the service provider's device requesting that the service provider fulfill one of the requests for service from the identified subset.

Abstract: A method for calculating sales trend of a product at a store shelf based on crowdsourcing, includes receiving, by a retail store server, availability data of a product measured on a shelf in the retail store from a portable device, where the availability data is in the form of a picture acquired of the product on the shelf, identifying products on the shelf using tags attached to the shelves, calculating sales velocity and sales trends of the product from the identified products, and transmitting the sales velocity and sales trend of the product to one or more third parties' systems in a supply chain of said retail store. Products and their locations on retail store shelves have been cataloged in a product database.

Abstract: Regardless of the production method applied, it is possible for a user to estimate a factor that causes trouble in one of the resources belonging to a resource type. A supporting system refers to management information indicating a production past record of the production system, and displays an overlay chart in which a diagram chart is relatively superimposed on a Gantt chart. The Gantt chart is a chart for a first resource type and has a resource axis and a time axis. The diagram chart is for a second resource type. In the overlay chart, a polygonal line connecting a plurality of points corresponding to a second resource, belonging to the second resource type, is on the Gantt chart, and each point is plotted at a position corresponding to an execution time of a step and a first resource, belonging to the first resource type, related to the step.