Abstract: A method of training a neural network to approximate a forecasting error of a passenger-demand forecasting model that includes calculating, using the forecasting model, a historical passenger demand forecast for each key level in a set of key levels and for each departure date in a set of historical departures dates; applying a dropout model to the historical passenger demand forecasts to create a training sample; training, using the historical passenger demand forecasts and the training sample, the neural network, to approximate forecasting errors associated with the forecasting model; calculating, using the forecasting model, a future passenger demand forecast for each key level in the set of key levels and for each departure date in a set of future dates; and approximating, using the trained neural network, the forecasting error associated with the future passenger demand forecasts for the second set of departure dates.

Abstract: Systems and methods for transcription analysis of a recording are provided. The recording includes an audio and screenshot/video portion. The audio portion is transcribed using a machine learned model. Models may be selected by the recording quality and potentially accents or other speech patterns that are present. The transcription is then linked to the video/screen capture chronology, so that automatic scrolling is enabled, clip selection from the transcription, and searching to a video time is possible. There is improvements to user experience question generation, review of study results, and in managing the study participants.

Abstract: Systems and techniques are described for tracking guard tours. In some implementations, the techniques include the actions of receiving data indicating an initiation of a guard tour at the property and by a user, where the guard tour defines a path that includes one or more checkpoints with which the user is instructed to interact. The actions further include analyzing the sensor data. The actions further include determining a location of the user conducting the guard tour at the property. The actions further include based on the location of the user and the path of the guard tour, determining that the user is not following the path of the guard tour. The actions further include based on determining that the user is not following the path of the guard tour, providing, for output, data indicating that the user is not following the path of the guard tour.

Abstract: A subtask assignment system for assisting groups of workers to complete a task more efficiently. The task may comprise a physical assembly task of an object. The physical assembly task comprises a plurality of subtasks that must each be completed to complete the physical assembly task. The subtask assignment system may include an assignment server connected to a plurality of user devices via a network, each user device being operated by a particular worker. The assignment server may execute an assignment engine that receives inputs describing the overall task and group of workers, generates a task model representing the task based on the inputs, populates a parameters table based on the inputs, and automatically determines subtask assignments for the group of workers based on the task model and the parameters table. The assignment server determines an optimal subtask to assign to each worker based on the parameters.

Abstract: An apparatus and method for fracking optimization, wherein the apparatus includes at least a processor, and a memory, wherein the memory containing instructions configuring the at least a processor to receive a reservoir datum from at least a sensing device, generate a production training data include a plurality of reservoir datums as input correlated to a plurality of optimal production parameters as output, train a fracking optimization machine-learning model using the production training data, determine an optimal production parameter as a function of the fracking optimization machine-learning model, and generating an optimal production plan as a function of the optimal production parameter.

Abstract: A method comprising generating, during multiple user sessions of a first user with a software application, first clickstream data from the multiple user sessions, and extracting, from the first clickstream data, a first plurality of task instances of the first user performing a first plurality of tasks. The method also includes decomposing, from the first clickstream data, each task instance of the first plurality of task instances into a first plurality of steps to obtain a first plurality of decomposed task instances. The first plurality of steps in the first plurality of decomposed task instances are each associated with a timestamp. The method further includes training a first user model with the first plurality of decomposed task instances to learn a user optimal order to perform the first plurality of tasks and presenting, to the first user, the user optimal order to perform the first plurality of tasks.

Abstract: A method, computer program product, and computing system for initiating a bespoke journey concerning a business process transition event; providing information concerning the bespoke journey to a plurality of recipients participating in the business process transition event; and monitoring the plurality of recipients to gauge sentiment concerning the bespoke journey.

Abstract: A method for identifying key elements that affect emergence of global efficiency of a rail transit system and a simulation system based on evolution of intelligent group behaviors for implementing the method. The global efficiency of the rail transit system is determined in form of an index vector. Around the index vector of the global efficiency, the agent models of the micro-subjects in the rail transit system and a simulation system of the emergence of the global efficiency based on the evolution of intelligent group behaviors are established. An algorithm implemented in the simulation system is established to identify key elements of the emergence of the global efficiency of the rail transit system. The method and the simulation system of the present disclosure provide a systematic solution for the improvement of the global efficiency of the rail transit system.

Abstract: A computer-implemented method, a computer program product, and a computer system for misinformative content mitigation. A computer receives from a social network system a request for curated content, where the curated content is related to misinformative content that has been identified by the social network system. The computer sends to a system of a paid curated content producer a request for making the curated content public. In response to that the system of the paid curated content producer accepts the request for making the curated content public, the computer provides to the social network system a link to the curated content on the system of the paid curated content producer. On the social network system, the misinformative content is flagged and the link to the curated content is presented aside the misinformative content.

Abstract: Systems and methods for recommending merchant actions include a physical merchant location having a plurality of beacon devices. A system provider device receives a plurality of first location information from the plurality of beacon devices that is collected from a customer beacon communication device that is associated with a customer. The system provider device also receives a plurality of second location information over the network from the plurality of beacon devices that is collected from a merchant beacon communication device that is associated with an asset of the merchant. The system provider device analyzes the plurality of first location information and the plurality of second location information to determine at least one merchant action recommendation related to the customer and the asset of the merchant and provides the at least one merchant action recommendation over the network for display on a display device.

Abstract: Methods, computer systems, and computer storage media are provided for utilizing system diagnostics focused in areas of disruption to improve inventory and workforce management in a revenue cycle management system. Inventory input is received from a revenue cycle management system. The inventory input includes inventory in the revenue cycle management system, types of claims in the inventory, pair agreements of the claims, and a length of time the claims have been in the inventory. Workforce input is also received from the revenue cycle management system. The workforce input includes experience, type of education or technical training, specialty, and outcomes corresponding to a workforce of the client. A portion of the inventory is automatically assigned to an associate of the workforce. The portion of the inventory tailored to the associate based on the inventory input and the workforce input.

Abstract: A media level of each Self-Service Terminal (SST) within a customized group of SSTs are managed in real time based on a current media level and a predicted optimal media level for each SST over a given period of time. During management, depositors are proactively steered away from media heavy SSTs to media deficient SSTs within the group. Any given SST of the group may have deposits temporarily disabled based on real-time instruction. Depositors that are being redirected may be incentivized to encourage the depositors to deposit at the cash deficient SSTs of the group.

Abstract: Users form custom-defined communities for performing a defined activity amongst themselves. An actor defines the activity and restrictions associated with the activity. Members of the community place requests for the actor to perform member-specific actions during the activity on behalf of the members. The actor performs the activity with the member-specific actions and arranges procurement of results associated with each of the members. The actor and the members may also settle up with one another at least upon procurement. The activity is crowd sourced within the custom-defined community, thereby reducing the need for the members to each individually perform the activity.

Abstract: The disclosure provides a method for managing a public place in a smart city. The method may comprise obtaining pedestrian distribution information in a preset area during a current time period. The method may comprise determining, based on the pedestrian distribution information, at least one area location in the preset area for a future time period, and a population flow load of the area location may be greater than a first threshold. The method may comprise determining, based on the area location, prompt information. The method may comprise sending the prompt information to a user platform through a service platform.

Abstract: In response to an order for a service from a customer, information pertaining to a service state change from a current service state to a new service state of the order is determined, where the current service state relates to a current service provided to the customer. In response to the information pertaining to the service state change, a network element of an infrastructure of network elements to provision is identified.

Abstract: A system and method of a multi-level tank-based production system. Embodiments include planning data for one or more finished goods, the one or more finished goods produced from one or more semi-finished goods stored in one or more tanks, identifying, from the planning data, planned production orders for the one or more finished goods in each time bucket of a planning period, modifying the planned production orders to satisfy lot-size requirements of production operations of the one or more finished goods and time and tank capacity constraints of the one or more semi-finished goods, generating a tank-based production plan based, at least in part, on the modified planned production orders, and producing the one or more finished goods according to the tank-based production plan.

Abstract: Systems and methods are disclosed related to determining and providing contextual information associated with a meeting based in part by parsing text from a meeting invitation or calendar entry. A voice-capturing device may receive audio data before or during a meeting that includes an invocation phrase used to invoke a voice-based functionality. A response may be generated by the voice-capturing device or an associated service provider system based on the contextual information determined from the parsed meeting invitation and/or related sources.

Abstract: In one embodiment, a method for providing recommendations for workflow alteration is disclosed. Task results for completion of a first set of iterations of a workflow are received. Training data may be extracted from the task results. The training data may be used to build a machine learning model for altering at least a portion of the workflow. An automation forecast that assesses the effects of altering the workflow for a second set of the iterations of the task may be generated, and a workflow alteration recommendation may be provided. Based on automation parameters, such as a minimum required level of accuracy, and the automation forecast, a recommendation regarding whether to automate the task may be included in the workflow alteration recommendation. Finally, based on the recommendation, an automated process may be generated to handle at least a portion of the task.

Abstract: Systems and methods are directed to supply chain management. In particular, the tracking, tracing, authenticating, and reporting of supply chain events for products, is disclosed. Various embodiments can store, analyze, and track supply chain events and help to coordinate and maintain trading partner connections. Various embodiments also help to enhance patient safety, secure the supply chains for pharmaceuticals, medical devices, and other healthcare products, and help users to follow regulatory requirements.

Abstract: Traditionally, meetings are widely utilized in business and personal communications, whether in-person and/or virtual. Organizing such meetings typically involves multiple exchanges of content and messages between users before, during, and after the meeting. In some cases, meetings may occur impromptu and may result in inefficient and unproductive collaboration. A collaboration object configured to enable users to dynamically collaborate before, during, and after a meeting is provided. In aspects, the collaboration object links content generated before, during, and after the meeting in a single location and provides functionality for concurrent multi-user interaction and synchronization of the content across applications. The collaboration object may be available from a variety of application platforms, enabling and persisting real-time editing and collaboration before, during and after the meeting.