Abstract: A request is received to perform a management action for a domain of a name service, wherein the name service is implemented using at least both a first blockchain network and a second blockchain network different from the first blockchain network. A determination is made whether the domain is currently managed on the first blockchain network or the second blockchain network. The management action for the domain is caused to be performed based on the determination of whether the domain is currently managed on the first blockchain network or the second blockchain network.

Abstract: One aspect of the subject matter described herein comprises a database management system. The database management system comprises a communication circuit, an interface, and a processor. The communication circuit receives information from databases via a communication network. The interface allows user operation and interaction via the communication network and the database management system. The processor provides data to and receives data from the interface, including a plurality of alphanumeric records comprising at least one unique identifier, obtains database records from other databases for each unique identifier, identifies a number of alphanumeric records in the plurality having events in their histories, determines a percentage of alphanumeric records in the plurality having negative events in their histories, generates a report including the determined percentages, and conveys the report to the user.

Abstract: One example method includes, for each document in a group of annotated documents, extracting a set of words from the annotated document, and each of the words is positioned in a respective field of the annotated document. The method further includes using an aggregation function to determine, for one of the fields, a similarity of each one of the annotated documents to all of the other annotated documents, creating a document layout graph with nodes that each correspond to a respective annotated document, and each node is connected to all other nodes for which a similarity threshold for the one field has been met, and running an algorithm on the document layout graph to identify a clique of the annotated documents, and each annotated document in the clique has a similar layout to respective layouts of the other annotated documents in the clique.

Abstract: A community question-answer (CQA) website answer sorting method and system combined with active learning. The sorting method comprises: step S1, performing question-answer data representation and modeling; and step S2, constructing a training set in combination with active learning, and predicting a sorting relationship of candidate question-answer pairs. Also provided is a community question-answer website answer sorting system combined with active learning. CQA website question-answer data is first represented and modeled, interference to answers sorting caused by long tail distribution of the community data is solved by means of a long tail factor, and an attention mechanism is introduced in a convolutional neural network to relieve a semantic gap problem among question-answer texts. Then, an unlabeled training set is also constructed, a sample is additionally selected from the unlabeled training set and labeled, and an answer sorting model is trained again after labeling results are merged.

Abstract: Enhanced techniques and circuitry are presented herein for providing responses to user questions from among digital documentation sources spanning various documentation formats, versions, and types. One example includes a method comprising receiving a user question directed to subject having a documentation corpus, determining a set of passages of the documentation corpus related to the user question, ranking the set of passages according to relevance to the user question, forming semantic clusters comprising sentences extracted from ranked ones of the set of passages according to sentence similarity, and providing a response to the user question based at least on a selected semantic cluster.

Abstract: A computer-implemented method, computer program product and computing system for normalizing descriptors within a master website dataset; comparing descriptors within a subordinate website dataset to descriptors within the master website dataset to define a similarity score for each descriptor within subordinate website dataset; and normalizing one or more descriptors of the subordinate website dataset if the similarity score is above a similarity threshold.

Abstract: Example embodiments involve a system and methods for identifying valuable view item pages for search engine optimization. According to certain embodiments, the system performs operations that include predicting the probability of future traffic for a given product based on a number of product level factors as input variables, and identifying a selection of view item pages corresponding to the products with the probability of the highest future traffic in order to maximize the driving natural search traffic to a linked site of the corresponding view item page.

Abstract: A computer-implemented method includes: receiving, by a computing device, text extracted from a webpage in a browser and a Uniform Resource Locator (URL) of a linked webpage associated with the text; generating, by the computing device, questions based on the text; retrieving, by the computing device, content of the linked webpage using the URL; generating, by the computing device, answers to the questions using the retrieved content; and returning, by the computing device, the questions and the answers to the browser such that the browser displays the questions and the answers in the webpage.

Abstract: A system includes an interface, a processor, and a memory. The interface is configured to receive a version of a model from a model registry. The processor is configured to store the version of the model, start a process running the version of the model, and update a proxy with version information associated with the version of the model, wherein the updated proxy indicates to redirect an indication to invoke the version of the model to the process. The memory is coupled to the processor and configured to provide the processor with instructions.

Abstract: A method and a system for recommending a location-based digital content are provided. The system includes a serving system having a database that stores a plurality of location-based digital contents and relevant hashtags. The system provides a browser program executed in a user device. The browser program is used to connect to the serving system for browsing the location-based digital contents provided by the serving system. In the method, the serving system receives position information from the user device so as to determine a geographic range. After querying the database, location-based digital contents within the geographic range can be obtained. The hashtags associated to the location-based digital contents within the geographic range can be obtained and displayed on the user interface for recommending the location-based digital contents within the geographic range to the user.

Abstract: Techniques are described with regard to managing transaction size during a database replication process. An associated computer-implemented method includes identifying each of at least one transaction associated with at least one source database stored in a replication capture memory, identifying at least one potential excessive memory transaction by applying, via at least one machine learning pattern detection model, pattern detection to each of the at least one transaction stored in the replication capture memory, and constructing at least one compact data unit associated with each of the at least one potential excessive memory transaction. The computer-implemented method further includes facilitating compact data unit transmission to a replication apply server system in order to replicate the at least one compact data unit associated with each of the at least one potential excessive memory transaction to at least one target database via a replication apply server application.

Abstract: In one embodiment, a method includes receiving a user query inputted on a head-mounted device from the head-mounted device, wherein the user query corresponds to multiple dialog-intents, executing multiple tasks corresponding to the multiple dialog-intents, generating a multi-perspective response by a stitching model based on two or more of execution results of the multiple tasks, wherein the stitching model combines the two or more of the execution results based on natural language processing, and wherein the multi-perspective response comprises a natural-language response combining the two or more execution results, and sending instructions to the head-mounted device for presenting the multi-perspective response on the head-mounted device.

Abstract: Systems and methods to generate records within a collaboration environment are described herein. Exemplary implementations may perform one or more of: manage environment state information maintaining a collaboration environment; obtain input information defining digital assets representing sets of content input via a user interface; generate content information characterizing the sets of content represented in the digital assets; generate individual records based on the content information; and/or other operations.

Abstract: Data is handled in a distributed computing environment comprising at least one server and a plurality of clients comprising at least a first client and a second client. The first client sends a first request for data to the second client, receives a first response from the second client as a response to the first quest, determines a probability of validity of the data requested based on a validity indication included in the first response indicating a probability that the data requested from the second client is invalid. The first client determines that the data requested by the first request and available from the second client is likely invalid, sends a second request to the server to obtain the data from the server and receives the data from the server.

Abstract: Techniques are disclosed relating to a database system includes worker nodes operable to perform transactions and director nodes operable to ensure transactional consistency for the transactions. A worker node may receive a request to perform a transaction involving writing a record. The worker node may then issue, to director nodes of the database system, a request for information that facilitates performance of an operation for the transaction. A director node may determine whether to approve the request based on whether the operation could cause transactional inconsistency in the database system. The worker node may proceed to perform the operation for the transaction in response to receiving approval responses from a majority of the director nodes, with none of the received responses indicating a disapproval of the transaction.

Abstract: Aspects described herein include systems and methods for determining addresses for assets, prioritizing the addresses for inspection by users, and applying natural language processing techniques to unstructured text input by the users. According to some aspects, a message may be received that includes unstructured text that was input by a user. The unstructured text may be associated with an inspection, by the user, of an address for an asset. One or more natural language techniques may be applied to the unstructured text to, among other things, facilitate the determination and sending of a response message to the unstructured text in an automated fashion. The response message may, if the asset was not found, include another address as a suggestion for the user to inspect for the asset. This suggested address may be determined based on changes to address priority that were caused by processing of the unstructured text.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives, from a client device, a request for information associated with a category. In response to the request, the program further accesses a storage to retrieve a first value associated with the category. The program also determines a set of values associated with the category based on a plurality of transactions. The program further determines an optimization level value associated with the category. The program also determines a second value associated with the category based on the first value, the set of values, and the optimization level value. The program further provides, by an application operating on the device, a graphical user interface (GUI) to the client device, the GUI comprising the second value.

Abstract: An illustrative method includes a monitoring system obtaining an attribute model for a dataset stored at rest within a storage system, the attribute model indicating one or more attributes of the dataset, determining, based on the attribute model, a compliance level of the dataset with a compliance ruleset associated with a compliance policy, and performing, based on the compliance level of the dataset with the compliance ruleset, an operation with respect to the dataset.

Abstract: Computer-implemented systems and methods are disclosed for indexing and aggregating data. In accordance with some embodiments, the systems comprise a memory device configured to store a set of instructions, and one or more processors configured to execute the set of instructions to generate an interactive user interface, receive, via the user interface, a user selected search criteria, access a plurality of aggregated data records comprising a plurality of data components, parse the aggregated plurality of data records to generate a subset of the aggregated plurality of data records corresponding to the search criteria, and display, via the user interface, a visual representation of the subset of the plurality of data records.

Abstract: Systems and methods are described for processing ingested data using an online machine learning algorithm as the data is being ingested. For example, the online machine learning algorithm can be an adaptive thresholding algorithm used to identify outliers in a moving window of data. As another example, the online machine learning algorithm can be a sequential outlier detector that detects anomalous sequences of logs or events. As another example, the online machine learning algorithm can be a sentiment analyzer that determines whether text has a positive, negative, or neutral sentiment. As another example, the online machine learning algorithm can be a drift detector that detects whether ingested data marks the start of a change in the distribution of a time-series.