Abstract: A golden path search method for manufacturing process provides a two-phase process to search for a golden path. A first phase step of the two-phase process includes preparing a search model based on a search algorithm, and selecting a plurality of key process stages of a plurality of process stages by feeding sets of final inspection values and the production paths of the workpieces into the searching model, and then generating a plurality of key paths according to the key process stages. A second phase step of the two-phase process includes building a plurality of prediction models of the key paths according to the production paths and the sets of final inspection values, and predicting a plurality of yield rates corresponding to the key paths according to the prediction models, and then searching for the golden path of the key paths according to the yield rates.

Abstract: Aspects of the disclosure relate to a decision model to open and close enterprise facilities. A computing platform may receive one or more attributes associated with an operation of an enterprise facility. Subsequently, the computing platform may identify, based on the one or more attributes, a business operation rule for the enterprise facility. Then, the computing platform may determine, based on the one or more attributes and the business operation rule, an operational parameter for the enterprise facility. Then, the computing platform may compare the operational parameter to a threshold parameter, where the threshold parameter may be indicative of whether to keep the enterprise facility open for business. Then, the computing platform may, upon a determination that the operational parameter fails to exceed the threshold parameter, determine to temporarily close the enterprise facility. Then, the computing platform may redistribute user traffic to one or more open customer resource facilities.

Abstract: Entity scoring calibration includes receiving values for a metric by which to calibrate a reputation scoring model. The reputation scoring model is usable to determine a reputation score. The reputation scoring model to be calibrated is based at least in part on a set of model parameters associated with reputation scoring components. It further includes receiving a plurality of feedback items pertaining to one or more entities. It further includes calibrating the reputation scoring model at least in part by adjusting at least some of the model parameters associated with the reputation scoring components such that reputation scores generated by the calibrated reputation scoring model track the values for the metric.

Abstract: Techniques for generating a report for a website are presented herein. A method can include accessing, by one or more computing devices, a plurality of unidentified events. Each event in the plurality of unidentified events can be associated with one or more properties. Additionally, the method can calculate, using a machine-learned prediction model, a number of pseudo users associated with the plurality of unidentified events based on an event-to-user-ratio and a total number of unidentified events. Moreover, the method can include assigning a first event from the plurality of unidentified events to a first pseudo user based on the one or more properties of the first event. Furthermore, the method can include generating the report for the website. The report includes information derived from the first event being assigned to the first pseudo user.

Abstract: Aspects of the present disclosure relate to identifying relationships between entities in a user graph relative to a specific user. The identified relationships may provide user specific insights on related entities from across the enterprise environment. The insights may be provided to the user in a graphical user interface which may organize the insights into categories of information with selectable features to permit user interaction with the insights. Thus, the insights provided from the user graph or user sub-graph according to aspects described herein, may improve productivity and the potential for collaboration across the enterprise environment while reducing user workload.

Abstract: A system includes a fleet resources data store that maintains a fleet resource inventory indicating fleet resources that can be assigned to perform tasks. For each fleet resource, the inventory indicates features of each fleet resource and a respective status. A set of task definitions is accessible to an intelligence layer to facilitate improving task definition based on feedback from task-specific outcomes. The system receives a job request for a robotic fleet to perform a job and determines a job definition data structure indicating a set of tasks to be performed for the job. The system applies an outcome of performing a task by a resource assigned to perform the task to a machine learning system of the intelligence layer that facilitates improving, based on the outcome, the set of task definitions. The system updates the set of task definitions based on a result of applying the machine learning system.

Abstract: Systems, methods, and computer-readable media for managing customer contact based on context. Specifically, a provider in a provider network associated with provisioning a specific product to a specific user can be identified. Context information related to the provider provisioning one or more products in relation to one or more workflows for provisioning the one or more products through the provider network can be accessed. A model can be applied based on the context information to identify circumstances associated with a likelihood that the provider will contact an enterprise of the provider network with respect to provisioning of the specific product to the specific user. As follows, performance of one or more remedial actions through the enterprise to address the provider contacting the enterprise can be facilitated based on the circumstances associated with the likelihood that the provider will contact the enterprise of the provider network.

Abstract: An online concierge system detects acquired items included among an inventory of a customer and identifies one or more candidate available items from the acquired items based on a predicted perishability of each item and a predicted amount of each item that was used. The system retrieves recipes, matches the item(s) likely to be available to a set of recipes based on their ingredients, and identifies any remaining items for each matched recipe not likely to be available. The system retrieves a set of attributes associated with the customer and the set of recipes and computes a suggestion score for each recipe based on the attributes. The system ranks the recipes based on their scores, identifies one or more recipes for suggesting to the customer based on the ranking, and sends the recipe(s) and any remaining items for each recipe to a client device associated with the customer.

Abstract: Methods and computer systems for managing access to resources in a computing environment. Detecting a projected overload condition from a projected demand for a resource. Identifying a server associated with a resource demand scheduled to be fulfilled prior to the projected overload condition. Generating a rescheduling request to reschedule the resource demand until after the projected overload condition. Sending the rescheduling request to the identified server. Providing access to the resource at a rescheduled time.

Abstract: A system for project accountability services comprises a processor and a tangible, non-transitory memory configured to communicate with the processor, the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising receiving a user validation data, validation the user based on the user validation data to generate a validated user, receiving a request for service from the validated user, and providing, in response to the request for service, a project assessment and requirement accountability service comprising a knowledge catalog, an assessment process module, an accountability process module, an attestation process module, an evidence record, a project accountability schema, and a cryptographic key manager.

Abstract: A method for sharing and analyzing information to support execution of multi-party workflows in an electrification ecosystem. The method may include creating or updating shared data schema and data governance rules associated with data to be received from a plurality of parties, wherein the plurality of parties are stakeholders to the multi-party workflows, and the data is associated with a battery system; submitting the shared data schema and the data governance rules for approval to the plurality of parties; creating or updating decision logics associated with the data to be received; submitting the decision logics for approval to the plurality of parties; receiving the data from the plurality of parties; and applying the approved shared data schema, the approved data governance rules, and the approved decision logics to the multi-party workflows and the received data from the plurality of parties to perform automated decision optimization.

Abstract: Systems and methods are disclosed for attributing payment vehicle purchase events to previous activity of a purchaser. One method comprises: receiving purchase information associated with a purchase event by a purchaser; comparing the received purchase information to a profile data store to identify a purchaser profile associated with the purchaser, the profile data store comprising a plurality of purchaser profiles, wherein each purchaser profile comprises payment vehicle data and a tracking element; determining the tracking element of the identified purchaser profile; identifying one or more activities of the purchaser using the tracking element of the identified purchaser profile; for each of the identified one or more activities, assessing the strength of attributing the purchase event to the activity, using environmental and/or behavioral data associated with the tracking element; and determining whether to attribute the purchase event to one or more of the identified activities based on the assessment.

Abstract: An online concierge system trains a user interaction model to predict a probability of a user performing an interaction after one or more content items are displayed to the user. This provides a measure of an effect of displaying content items to the user on the user performing one or more interactions. The user interaction model is trained from displaying content items to certain users of the online concierge system and withholding display of the content items to other users of the online concierge system. To train the user interaction model, the user interaction model is applied to labeled examples identifying a user and value based on interactions the user performed after one or more content items were displayed to the user and interactions the user performed when one or more content items were not used.

Abstract: An example apparatus to perform media device on/off detection using return path data includes interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to classify view segments associated with common homes data based on whether first return path data in respective ones of the view segments has matching panel meter data to determine labeled view segments, train a machine learning algorithm, based on a first set of features, to output media device on/off determinations to produce a machine learning algorithm, the first set of features generated from the labeled view segments, and apply second return path data to the machine learning algorithm trained to output a first on/off determination associated with a media device represented in the second return path data.

Abstract: An outage risk detection alert is generated for one or more organizations of a plurality of organizations. Computer service incidents are monitored for the plurality of organizations to identify computer services having current computer service incidents. A count of organizations of the plurality of organizations that utilize a particular computer service and that have a current computer service incident related to the particular computer service within a plurality of time windows are aggregated to generate an aggregate count for the particular computer service for each time window of the plurality of time windows. An outage risk detection alert for the particular computer service is generated responsive to the aggregated count for a time window of the plurality of time windows surpassing a threshold level.

Abstract: A system includes processing hardware, and a memory storing software code including a hierarchical user interface (UI). The processing hardware executes the software code to receive from a first user, via the hierarchical UI, project data describing a project, and a project task for completion by a second user, and to generate, using the project data, a node-based graph of the project including the project task. The processing hardware further executes the software code to receive, via the hierarchical UI in response to performance of at least a portion of the project task by the second user, a task progression or task completion data, update, using the task progression or task completion data, the node-based graph, and display to the first user, via the hierarchical UI, the updated node-based graph and the task progression data or task completion data.

Abstract: Methods, apparatus, systems, and computer program products are disclosed for utilizing specially configured machine learning models to generate incremental currency value(s) associated with one or more target merchant data objects. Some embodiments, based on one or more market record sets, identify an actual electronic currency value for a total merchant data object set, and include a counterfactual model configured to generate a counterfactual electronic currency value for use in determining a counterfactual incremental electronic currency impact, and in some embodiments for ranking other models. Embodiments, additionally or alternatively, include an incrementality-trained ensemble model for generating a predictive incremental electronic currency impact. The incrementality-trained ensemble model may be trained to predict based on the rankings of the outputs of the counterfactual model.

Abstract: A method providing a support device to assist personnel includes receiving data values from various devices associated with a task being performed by personnel, wherein the various devices include at least one Internet of Things (IoT) device and at least one wearable device. The method also includes comparing the received data values to historical data values associated with a pre-established knowledge corpus and identifying the task being performed by the personnel. In response to determining the received values exceed the historical values by a predetermined threshold for the task being performed by the personnel, the method includes determining whether the personnel require assistance with performing the task. In response to determining the personnel requires assistance with performing the task, the method includes instructing a support device to perform an action to assist the personnel with performing the task.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for managing projects using references between the project and project items. Project items can be, for example, synchronized content items, collaborative content items, other projects, folders, tasks, user accounts, etc. The content management system can create a project identifier for managing data and/or people associated with a project. In various implementations, the content management system can store references between the project and project items in one or more folders associated with the project, in a database, in content item metadata, etc. In some implementations, the storage location of a content item does not affect whether it is associated with the project. When a project is selected by a user, the content management system can generate project view that presents various project items associated with the project in a convenient and easy to access graphical user interface.

Abstract: This application relates to apparatus and methods for generating target labels from multi-dimensional time series data. In some examples, a computing device receives parameters that correspond to each one of a plurality of sellers, and gathers a set of relevant time series metrics for each one of the sellers based on the respective seller's parameters over a time period. The computing device calculates aggregated metrics for each corresponding subperiod based on each seller's respective set of relevant time series metrics. The computing device generates seller persona clusters based at least in part on the calculated aggregated metrics for each seller. The computing device calculates a score for the generated seller persona clusters, and when the score is greater than or equal to a predetermined threshold value, generates a respective target label for each of the clusters, and applies each respective target label to the sellers within each respective cluster.