Abstract: A machine-learning model is trained to cluster support requests based on the contents of the support requests. A user of the recommendation system may select a set of support requests to be clustered. Based on the selected set of support requests, the trained machine-learning model may be tuned and used to cluster the selected set of support requests. Using the characteristics of the support requests in one or more generated insights, one or more tools suitable for providing automated support for the cluster of support requests may be identified. Using a knapsack-based approach, one or more of the identified tools is selected for recommendation to the user.

Abstract: A power distribution system includes a battery having multiple power cell groups. Each power cell group includes at least two power cells and a state of charge monitoring sensor. A controller is connected to each state of charge monitoring sensor. The controller is configured to run a process causing the processor to detect a slow self-discharge in at least one power cell group by monitoring a cell balancing metric for each power cell group and generating a set of accumulated balance metric values. The set of accumulated balancing metric values includes an accumulated balancing metric value corresponding to each power cell group in the plurality of power cell groups. The process identifies a reference value and a difference between the reference value and the cell balancing metric of each power cell with a cell balancing metric lower than the reference value and comparing the difference to a threshold.

Abstract: Embodiments of a method for facilitating spam blocking in a tiered software framework include: determining that a message template is generated in the tiered software framework, parsing the message template, automatically performing a semantic search for regulated content in the parsed message template, assigning a score to the message template based on the semantic search, and responsive to the score being higher than a predetermined threshold, blocking generating of any message from the message template. The tiered software framework comprises a first tier, a second tier, and a third tier, the second tier comprises accounts of a first plurality of subscribers, the third tier comprises subaccounts of the accounts, the subaccounts associated with a second plurality of subscribers, and the message template is associated with one of the subaccounts in the third tier.

Abstract: A system and a method to determine a technology used by a user is disclosed. The system receives user data comprising job titles, skills, and job summaries. Further, technology categorization data is generated based on the user data. The technology categorization data comprises technology category and technology subcategory mapped to a user department and a user division. The system further extracts a keyword and a set of buffer keywords from the user data. Subsequently, the system determines a context of the user data based on the set of buffer keywords of the keyword. The technology used by the user may be determined upon comparing the keyword and the context with a predefined pattern sheet. The system validates the technology with the technology categorization data.

Abstract: Embodiments of a method for automatically rebilling a metered activity comprise: detecting a metered activity in a tiered software framework having a first tier, a second tier, and a third tier with a first subscriber subscribed to the second tier, and a second subscriber subscribed to the third tier; instantiating a meter to monitor usage of the metered activity; simultaneously instantiating a first debit service at the first tier and a second debit service at the second tier; computing, by the first debit service, first usage credits of the usage; debiting the first usage credits from a first digital wallet of the first subscriber at the second tier; computing, by the second debit service, second usage credits of the usage; and debiting the second usage credits from a second digital wallet of the second subscriber at the third tier.

Abstract: A network testing system includes a non-transitory computer readable medium configured to store instructions thereon, and a processor. The processor is configured to execute the instructions for receiving first reporting data associated with a master node for a first group of users. The processor is configured to execute the instructions for receiving second reporting data associated with a secondary node for a second group of users. The processor is configured to execute the instructions for determining whether an interface link between the master node and the secondary node has been established. The processor is configured to execute the instructions for establishing the interface link between the master node and the secondary node, in response to a determination that the interface link is not established.

Abstract: In one embodiment, a method includes receiving, from a client system of a user, a user input comprising a plurality of n-grams, parsing the user input to identify one or more overall intents, hidden intents, and slots associated with the one or more n-grams, wherein at least one of the hidden intents is non-resolvable for being associated with partial slot information corresponding to an n-gram that has not been resolved to a particular entity identifier, wherein the partial slot information is associated with two more entity identifiers of two or more entities, respectively, sending, to the client system, instructions for prompting the user to select one of the entities to be associated with the non-resolvable hidden intent, resolving the non-resolvable hidden intent based on the entity identifier of the entity selected by the user, and generating a response to the user input based on the resolved hidden intent.

Abstract: This application relates to apparatus and methods for providing recommended items to advertise. In some examples, a computing device determines a first set of items for recommendation based on historical user data associated with a user, and a second set of items for recommendation based on real-time user session data for the user. The computing device may then determine a subset of the first set of items based on associated scores and a predetermined threshold number of first items that can be presented for optimal user interaction. The computing device may generate a set of item recommendations by combining the subset of the first set of items and at least one of the second set of items to present to the user as advertisements.

Abstract: In one embodiment, a method includes receiving, from a client system of a user, a user input comprising a plurality of n-grams, parsing the user input to identify one or more overall intents, hidden intents, and slots associated with the one or more n-grams, wherein at least one of the hidden intents is non-resolvable for being associated with partial slot information corresponding to an n-gram that has not been resolved to a particular entity identifier, wherein the partial slot information is associated with two more entity identifiers of two or more entities, respectively, sending, to the client system, instructions for prompting the user to select one of the entities to be associated with the non-resolvable hidden intent, resolving the non-resolvable hidden intent based on the entity identifier of the entity selected by the user, and generating a response to the user input based on the resolved hidden intent.

Abstract: Methods, systems, and media for presenting media content are provided.

Abstract: In some examples, a computing device may implement a method that includes receiving microservice profile information at a microservice profiler, performing lexical analysis of the microservice profile information (where the lexical analysis produces tokenized information), generating microservice modification information by performing machine learning analysis of one or more inputs (where the one or more inputs comprise the tokenized information), and outputting the microservice modification information from the microservice profiler. The microservice profile information describes one or more characteristics of a microservice. The lexical analysis is performed by a lexical analysis engine of the microservice profiler, and the machine learning analysis is performed by a machine learning system of the microservice profiler.

Abstract: This application relates to apparatus and methods for automatically determining item relevancy based on textual information. In some examples, a computing device receives a search query, and a plurality of items corresponding to the search query. The computing device may identify one or more features of the search query. The computing device may generate relevancy values for each of the items based on the features of the search query, and features of each of the plurality of items. For example, the computing device may generate, for each of the items, a plurality of relevance values, each relevance value generated based on a feature of the search query and corresponding features of the item. The computing device may transmit the generated relevancy values for the plurality of items. In some examples, the computing device may rank the plurality of items based on the generated relevancy values.

Abstract: Methods, systems, and computer program products for selection of a witness during virtualization system recovery after a disaster event. A recovery plan is configured to identify a witness that is then used to elect a leader to implement the recovery. Various system, and/or network, and/or component failures and/or various loss of function of components of the virtualization system can trigger initiation of the recovery plan. Based on the particular recovery plan that is invoked upon a determination of a network outage, or component failure or loss of function of a component of the virtualization system, a particular witness corresponding to a subset of entities of the particular recovery plan is selected. The witness is used to elect the leader, and the leader initiates actions of the recovery plan. The implementation of the recovery plan includes consideration of the health of components that would potentially be involved in the recovery actions.

Abstract: Methods, apparatus, and processor-readable storage media for automatically validating design parameters for enterprise applications are provided herein. An example computer-implemented method includes obtaining image data and code data of a given application associated with an enterprise; processing at least a portion of the image data against at least a portion of design parameters of the enterprise by processing the at least a portion of the image data and a set of design-compliant image data using similarity algorithms; processing at least a portion of the code data against at least a portion of the design parameters by performing an automated scan of the at least a portion of the code data against at least one code-related portion of the design parameters; and performing automated actions based on the processing of the image data and/or the processing of the code data.

Abstract: A method being implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media. The method can include training two sets of item embeddings for items in an item catalog and a set of user embeddings for users, using a triple embeddings model, with triplets. The triplets each include a respective first user of the users, a respective first item from the item catalog, and a respective second item from the item catalog, in which the respective first user selected the respective first item and the respective second item in a respective same basket. The method also can include randomly sampling an anchor item from a category of items selected by a user. The method additionally can include generating a list of complementary items using a query vector associated with the user and the anchor item.

Abstract: A tissue repair patch having an outer side and an inner side is described. The tissue repair patch includes a structural component comprising collagen and/or chorion and a regenerative component comprising amniotic tissue. Methods of tissue repair using the tissue repair patch are also described.

Abstract: A method and a system for generating required feature output by providing a FaaS (Function-as-a-Service) based feature library using a DAG (Directed Acyclic Graph), are disclosed. A library is configured to store logic codes being generated for a plurality of features and the library is then deployed on a FaaS engine. At least one feature selection configuration from a user is received by the FaaS engine. The DAG implements at least one transformation based on the at least one feature selection configuration, and the FaaS engine thereby generates the required feature output for the user.

Abstract: A method includes retrieving information regarding a candidate from a plurality of sources, and analyzing the information regarding the candidate using one or more machine learning techniques. A plurality of questions for the candidate are generated based on the analysis. The method further includes receiving and analyzing a plurality of natural language responses to the plurality of questions from the candidate, and computing a plurality of confidence scores for the plurality of natural language responses using the one or more machine learning techniques. The plurality of questions and the plurality of confidence scores are provided to a user via a user interface.

Abstract: Aspects of the disclosure provide a method of identifying off-road entry lane waypoints. For instance, a polygon representative of a driveway or parking area may be identified from map information. A nearest lane may be identified based on the polygon. A plurality of lane waypoints may be identified. Each of the lane waypoints may correspond to a location within at least one lane. The polygon and the plurality of lane waypoints may be input into a model. A lane waypoint of the plurality of lane waypoints may be selected as an off-road entry lane waypoint. The off-road entry lane waypoint may be associated with the nearest lane. The association may be provided to an autonomous vehicle in order to allow the autonomous vehicle to use the association to control the autonomous vehicle in an autonomous driving mode.

Abstract: A system and method include migrating, by a migration controller, a first entity of a first subset of entities from a source site to a target site in a virtual computing system based on an asynchronous mode of replication. The system and method also include replicating, by the migration controller, data of a second entity of a second subset of entities from the source site to the target site based on a synchronous mode of replication in parallel with the migration of the first entity for dynamically adjusting a recovery time objective parameter.