Abstract: The present disclosure describes a system and method for profiling and predicting customer behavior using machine learning. The system for profiling and predicting customer behavior uses all available signals from each individual customer across digital channels to build predictive artificial intelligence algorithms to create customer genome markers that predict the likelihood that specific customer will respond to digital actions.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for providing cross-domain access to calendar availability are presented. A request to schedule an event may be received. The request may comprise an identity of an organizer user account, the organizer user account associated with a first domain, and an identity of an invitee user account, the invitee user account associated with a second domain. An importance level of the organizer user account to the invitee user account may be determined. A determination may be made as to whether the organizer user account has access to events in an electronic calendar associated with the invitee user account based on the importance level. One or more events that the organizer account has access to may be surfaced in an event scheduling assistant user interface associated with the organizer user account.

Abstract: Methods and systems are provided to determine a partner fee recommendation. Such a partner fee may be a flat fee, percentage-based fee, or both, that a marketplace provider charges for sellers to use their platform. The partner fee recommendation may be calculated based on a plurality of factors. The partner fee recommendation may be based on data from a plurality of marketplaces. At least a portion of such data may be collected by a payment service provider or other service provider that provides services at multiple levels of transactions and through a plurality of marketplace platforms.

Abstract: An electronic resource tracking and storage computer system communicates with computing systems operated by different participants. Computing systems store copies of a blockchain and have associated computing devices with sensors. A programmed rule set includes conditions to be met when cooperating to complete, in connection with a resource tracked via the blockchain, a modeled process including modeled tasks. A transceiver receives, from the computing devices, signed electronic data messages including identifiers and values from their respective sensors. Blockchain transactions including identifiers and value(s) in the respective messages are generated. Generated blockchain transactions are published for inclusion in blockchain's copies. Value(s) in the respective electronic data messages are validated against the set of programmed rules. Based on the validations' results, events are emitted to an event bus monitored by a management system.

Abstract: This application relates to systems and methods for generating desired or optimized event schedules. An example computer-implemented method of dynamically generating an event schedule includes: receiving one or more parameters for a series of live events to be held in a plurality of geographic regions; generating a schedule for the series of live events based on the one or more parameters; and automatically updating the schedule based on a change to the one or more parameters.

Abstract: As an example, a server may receive and/or retrieve news items and process the news items using natural language processing to identify news related to entities (e.g., people, locations, and organizations) extracted from an enterprise resource planning system. A term frequency-inverse document frequency algorithm may be used to identify critical news items that may impact one or more supply chains associated with at least one product that is to be manufactured. A long short-term memory artificial recurrent neural network may be used to determine a confidence score for each critical news item. The confidence scores of the critical news items may be used to adjust replenishment planning and a master build plan that includes a plan to build the at least one product. In this way, news items may be used to automatically (e.g., without human interaction) adjust the master build plan.

Abstract: A method is disclosed which includes: receiving, from a third-party content provider, a link to a structured document on an external server, where the link is associated with a post of the online social network by the third-party content provider, and retrieving the structured document from the external server, where the structured document includes content and input fields. This step is followed by extracting a predefined set of information from the structured document about the content and input fields of the structured document. The extracted set of information from the structured document are then evaluated to determine one or more feature-values of the structured document. A machine learning model is used to classify the structured document as an external lead-generation type page based on the one or more feature-values of the structured document and a notification is sent to the third-party content provider if the structured document is classified as an external lead-generation type page.

Abstract: There is provided a system, method and computer program product for estimating a current value of an intangible asset, by obtaining a source file representing the intangible asset; analyzing the source file to identify at least one characteristic; classifying the source file to belong to at least one class based on the identified at least one characteristic; obtaining one or more evaluation parameters associated with the creator of the intangible asset from at least one first data source; obtaining any historical values associated with the intangible asset; predicting, using a machine learning model, a future value of the intangible asset based on the selected at least one class; the one or more evaluation parameter; and any obtained historical value; and estimating, by the machine learning model, the current value of the intangible asset based on the predicted future value and a pre-set time period.

Abstract: Data analytics techniques can improve international software product quality and user experience. The system uses data mining to identify and assess region-specific issues in a software product. The system uses predetermined keywords, patterns and neural networks to mine customer feedback from heterogeneous data sources in order to accurately and efficiently identify and assess technical problems in a software product. The system, upon mining the data sources to determine the usage patterns and expectations that led to the identified technical problems, can facilitate the development of a software update or patch for the software product that can solve or mitigate the identified technical problem, resulting in the software product having improved globalization maturity and international user experience.

Abstract: Systems and methods for optimizing oilfield rig fleet scheduling and deployment are disclosed. Wells are identified to have time constraints by which they are grouped into “ON”, “BY”, and “ADD” categories. ON wells have a beginning drilling availability window; BY wells have an ending drilling availability time only; and ADD wells have no beginning or ending time of drilling availability. The systems and methods optimize scheduling with ON wells having higher priority than BY wells, and BY wells having higher priority than ADD wells.

Abstract: A facility for providing a workflow tailored to defining a project for collecting multimodal data from each of a set of crowdsourcing or microtasking platform workers is described. The facility enables customers of a crowdsourcing or microtasking platform to easily define multimodal data collection projects. The facility enables customers to define any of the following types of information associated with multimodal data collection projects: worker requirements, project environment parameters, video data, audio data, physiological data, and/or location-related data. Some of this data is collected using different kinds of sensors in one or more devices (e.g., smart phones, fitness wearables, etc.) associated with the crowdsourcing or micro-tasking platforms' workers. Prior to computing data results generated by executing a multimodal data collection project, the facility an align at least a first portion of the collected data with a second portion of the second data.

Abstract: A computing system includes a computing device and a repository storing at least one model for a plurality of confined spaces each having limited means of entry or exit. The at least one model is based at least in part on respective sets of one or more characteristics of the plurality of confined spaces. The computing device is configured to: obtain one or more characteristics of a particular confined space having limited means of entry or exit, the one or more characteristics of the particular confined space identifying at least a type of the particular confined space; apply the at least one model to the one or more characteristics of the particular confined space to identify at least one hazard remediation technique for the particular confined space; and output a notification indicating the at least one hazard remediation technique.

Abstract: This invention is embodied in a cost-optimization device for the layout and construction of a utility-scale photovoltaic (“PV”) power plant. The optimization device employs a set of algorithms designed to find the most cost-effective solution under given conditions. The algorithms are written in computer machine readable code and are highly customizable for the specific tracker equipment requirements and owner/builder/maintainer specifications or preferences. The preferred optimization device comprises three principal stages (or “units”) of computing: (1) an objective-state unit, (2) an optimum-feasible unit, and (3) a grading unit. In the first stage, the objective-state unit cost-optimizes site grading by orienting a ruling line between a maximum and a minimum pile reveal length for each tracker in the project (the objective-state solution”). When compared to the existing site topography, the ruling line indicates cost-optimized cut and fill locations.

Abstract: Embodiments of the present disclosure relate to administration of an electronic survey to collect perception ratings for an event. For example, an electronic survey system provides a perception survey question to a respondent client device for an event (e.g., a digital media event or a live user experience). As a user associated with the respondent client device experiences the event, the user indicates a perception rating over time for the event by interacting with a graphical input element corresponding to the perception survey question. The survey system collects perception data points indicating the perception rating of the user and associates information about the user with the perception data points. The survey system can generate response data for the perception survey question based on the perception data points. The survey system can also generate a perception data report using the user profile information.

Abstract: Methods and systems for evaluating entities involved in a construction project. One system includes a server that has access to a plurality of events associated with a construction project, including completion events and accounting events. The server communicates with a computing device over a network connection and includes a processing unit. The processing unit is configured to receive a triggering event selected by a first entity and automatically identify when the plurality of events includes the selected triggering event. When the selected triggering event is included in the plurality of events, the processing unit is configured to automatically prompt a user to complete an evaluation for a second entity, receive the completed evaluation from the user, and make an aggregation of the completed evaluation available to the first entity, the second entity, and a third entity.

Abstract: A method to forecast a spike price of a commodity may include obtaining a request to perform a prediction of a spike in a price of a commodity. The method may also include obtaining additional information of the commodity based on the input. The method may also include determining, using a first machine learning algorithm, a probability of the spike based at least in part on the additional information. The method may include outputting the probability of the spike for visual representation on an electronic display in response to a determination that the probability of the spike is above a risk tolerance. The method may further include determining, using a second machine learning algorithm, a price prediction in response to a determination that the probability of the spike is below the risk tolerance, wherein determining the price prediction comprises outputting the price prediction for visual representation on the electronic display.

Abstract: A Foundational Framework (“the Framework”) may refer to an apparatus that connects a multiplicity of potentially very complex components, each of which produce different types of information related to financial forecast, while maintaining a distributed and federated model to allow high autonomy to each component. The innovative Framework provides a unified operation of lifecycle of every component and allows the production of unlimited types of forecasts of different dimensions and for different purposes using a common tool that is responsible of coordinating and running the sequence of components for the user's needs.

Abstract: Methods, systems, and computer program products for identifying and evaluating risk alerts are provided. Aspects include receiving risk alert data comprising risk alerts from data sources, obtaining, by the processor, client geographical data comprising one or more locations of interest, wherein the one or more locations of interest comprise infrastructure resource for the client, determining one or more trusted data sources that are most relevant to define an impact of one or more risk events from the risk alert data affecting one or more locations of interest for the client based on the risk alert data and the client geographical data, determining impactful risk events that affect locations of interest for the client based on trusted risk alert data from the trusted data sources and the client geographical data, and displaying the trusted data sources, the one or more impactful risk events, and the one or more locations.

Abstract: A computer-implemented system for construction management. Operations include receiving as input an electronic version of a document; identifying at least one string of data from the electronic version of the document; mapping the identified at least one string of data to a predetermined unitary database including at least one key string of data associated with at least one key event; tagging the mapped and identified at least one string of data with a tag associated with the at least one key string of data associated with the at least one key event; and transmitting a signal based on the tagged, mapped, and identified at least one string of data. Related methods, devices, apparatuses, systems, techniques and articles are also described.

Abstract: Provided is a control method of a complex energy system that supplies heat and power to energy consumers through a heat network and a power network.