Abstract: A search system obtains a search result comprising an entry. The search result is based on a set of search constraints. The search system generates a hit index based on the search result and each constraint in the set of search constraints. The hit index includes identification information of an element associated with the entry that caused the entry to be included in the search result. The search system updates the search result to comprise an indication of the element associated with the entry based on the hit index.

Abstract: Aspects of systems and methods for providing contextual and event driven insights are provided. The system monitors information about the users and their conversations. Upon receiving a natural language request for information for a topic, the system utilizes a model to extract one or more topics from the request. The system utilizes the topic to query a resource for candidate users with knowledge about the topic. The system then queries a resource to identify candidate content items associated with the topic and the candidate users. Thereafter, the system refines the candidate users and the candidate content items to identify relevant users and content items that are meaningful to the user.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for automatic cleaning of entity resolution (ER) data persistently stored in a data repository.

Abstract: System, method, and computer product embodiments are described for querying a database using natural language queries (NLQ) to produce actionable results in an answer card. The method allows a user to take further action with the answer card by editing the card contents, manipulating the way data is displayed, or querying the answer results for more details of the data. By the method, the user may continue exploration of the data, use the results to collaborate with others, or build a story from the data in a presentation format, such as a dashboard, while maintaining access to the real-time data of the database through the answer card. System and computer product embodiments implement the method.

Abstract: Methods and apparatus for predicting unknown values given a data set of known values. A prediction engine ingests a variety of data sets. Once the dataset has been ingested, requests for predictions may be presented to the prediction engine. The engine responds with a prediction as well as a confidence score based on the ingested information using a variety of techniques. Some of these techniques identify witness values in the ingested data that are similar to the requested prediction, other techniques compute witness values from ingested data, etc. These witness values are aggregated to yield an answer and a confidence level in a way that permits the user to review the underlying witness values.

Abstract: Techniques and solutions are described for facilitating the distribution of tables and table data between a shared container and one or more tenant containers. The tables can include a sharing indicator that can designate a table (or a view on a table) as having a materializable type. Materializable types can initially be deployed in the shared container, and a tenant container can have read access to the table via a view. If the tenant attempts to modify the materializable table, the table can be materialized in the tenant container. Metadata for a materializable table can include materialization instructions. Techniques and solutions are also provided for converting between sharing types, and for updating shared containers or table schemas.

Abstract: A computer system identifies a platform that corresponds to a first resource, wherein the first resource includes one or more resource pages. The computer system determines one or more x-paths that corresponds to the identified platform. The computer system utilizes at least a first x-path of the one or more x-paths to add a product to a digital shopping cart associated with the first resource. In response to adding the product to the digital shopping cart associated with the first resource, the computer system utilizes at least a second x-path of the one or more x-paths to access a first resource page of the one or more resource pages, wherein the first resource page is a checkout page. The computer system determines whether one or more elements located within the first resource page are valid.

Abstract: Certain embodiments involve determining and outputting correlations between metrics in large-scale web analytics datasets. For example, a processor identifies pairs of data metrics in a web analytics data set and determines a Maximal Information Coefficient (MIC) score for each pair of data metrics that indicates a strength of a correlation between the pair of data metrics. The processor generates an interactive user interface that graphically displays each pair of correlated data metrics having an MIC score above a threshold and the interactive user interface indicates the strength of the correlation between each displayed pair of correlated data metrics. The processor receives user input indicating an adjustment to the threshold and modifies the interactive user interface in response to receiving the user input by adding pairs of correlated data metrics to, or removing pairs of correlated metrics from, the interactive user interface based on the adjustment to the threshold.

Abstract: A trim management method for a storage device includes activating, by a processor configured by an application program, a pattern check function of a device driver, requesting, by the processor configured by the application program, a file system to write a file of a specified pattern, converting, by the processor configured by the file system, the file to management unit data of the storage device, transmitting, by the processor configured by the file system, the management unit data to the device driver, checking, by the processor configured by the device driver, whether a data pattern of the management unit data is the same as the specified pattern, and transmitting, by the processor configured by the device driver, a trim command for trimming a storage area corresponding to the management unit data, to the storage device based on results of the checking.

Abstract: Techniques for managing overwrites when archiving data in cloud/object storage are provided. In one set of embodiments, a computer system can overwrite a chunk of data residing in cloud/object storage, where the cloud/object storage only guarantees eventual consistency for overwrites, and where the overwriting is associated with a sequence number. Upon overwriting the chunk of data, the computer system create a new instance of a file in the cloud/object storage, where the new instance of the file has a version number corresponding to the sequence number.

Abstract: A trouble information search method includes, storing information on a circuit component, information on a use state of the circuit component, and trouble information on the circuit component, receiving input of information on a circuit component and information on a use state of the circuit component, identifying information on a trouble that has occurred with a circuit component having detailed information similar to detailed information on the circuit component and a circuit component for use in a state similar to a use state of the circuit component, and outputting information on the identified trouble.

Abstract: Systems, methods, and devices for incrementally refreshing a materialized view are disclosed. A method includes generating a materialized view based on a source table. The method includes merging the source table and the materialized view to generate a merged table to identify whether an update has been executed on the source table that is not reflected in the materialized view. The method includes, in response to detecting an update made to the source table that is not reflected in the materialized view, applying the update to the materialized view.

Abstract: Described is a system and method that provides a data protection risk assessment for the overall functioning of a backup and recovery system. Accordingly, the system may provide a single overall risk assessment score that provide an operator with an “at-a-glance” overview of the entire system. Moreover, the system may account for changes that occur over time based on leveraging statistical methods to automatically generate assessment scores for various components (e.g. application, server, network, load, etc.). In order to determine a risk assessment score, the system may utilize a predictive model based on historical data. Accordingly, residual values for newly observed data may be determined using the predictive model and the system may identify potentially anomalous or high risk indicators.

Abstract: A computer-implemented method for determining a crowdsourced association between a first user identifier, and a second user identifier for a user of a service accessible over a network. Service data are searched to identify users of the service having a potential association with the first user identifier. Users of the service are invited in turn to select one of the identified users in relation to the first user identifier. A tier of linkage is determined, from at least two defined tiers, between a user making the selection and the selected user. A vote is recorded, of the determined tier, for the selection. A threshold is assigned to votes according to the tier of linkage so that if the votes of at least one of the defined tiers achieves its assigned threshold, it may be determined whether the first user identifier is associated with the respective second user identifier.

Abstract: Techniques for analyzing an execution of a query statement based on a random archive are disclosed. A plurality of query statements that are executed during a particular time period are identified. A random sampling function is executed to randomly select a set of query statements from the plurality of query statements. Execution plans and/or performance metrics associated with each execution of the randomly-selected query statements are stored into a random archive. Responsive to determining that a performance metric for a current execution of a particular query statement does not satisfy a performance criteria, information associated with the particular query statement from the random archive is analyzed. A model plan characteristic associated with an execution of the particular query statement stored in the random archive is determined. An execution plan associated with the model plan characteristic is determined for another execution of the particular query statement.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that partitions searchable content and distributes the segments across a plurality of processing nodes, which in turn further sub-partitions the partitions for processing by local search actor in order to increase the speed with which a search request from a user is processed. Processing nodes available to receive partitioned searchable content are registered with an external storage device. The external storage device also maintains a global results collector that compiles results from the partitions of searchable content. Respective local collector actors receive compiled results from local search actors for a processing node and the compiled results are sent to the global results collector for compiling for the plurality of processing nodes. Results of the user search request are then provided to the user.

Abstract: According to an aspect, searching, recommending, and exploring documents through conceptual associations includes a method for receiving a plurality of documents and extracting concepts from each of the documents. A degree of relation between each of the documents and concepts in a knowledge base is calculated. The method also includes, in response to receiving a query, determining one or more concepts from the query. For each of the concepts, a list of documents having a highest degree of relation to the concept is retrieved. The method also includes outputting a list that is responsive to the one or more retrieved lists.

Abstract: Various embodiments describe a segmentation application that uses a predictive model to segment content from instruction manuals. In an example, the segmentation application receives training data including training labels and steps available from instruction manuals. The segmentation application trains a predictive model based on the training data and a loss function. The training includes generating, by the predictive model, a prediction of whether the sub-step is the start of the step and minimizing the loss function based on comparison of the prediction to the training label. Upon completion of the training, the segmentation application identifies electronic sources and a start indicator indicating a start of a specific step. The segmentation application provides, in response to a query about an object from a client device, a step generated from the start indicator.

Abstract: Technologies are described for facilitating transaction processing in a distributed database environment. A database client sends database operations to a slave node, which mediates execution of the transaction. A connection between the database client and the slave node is associated with an identifier, and the transaction has an identifier. The database client sends a commit request to a master node over a network connection between the master node and the database client. The commit request includes the transaction identifier. The commit request can also include an indication of database nodes executing operations in the transaction.

Abstract: Through a first processing thread, a first database is accessed via a first API to retrieve a list of event objects of the first database. Through a second processing thread, for each of the event objects, participant identifiers (IDs) are determined from the event object. For each of the participant IDs, a domain ID is extracted from the participant ID. A list of one or more entity objects are identified based on the domain ID, where the entity objects are stored in a second database such as a task database storing and managing many tasks. At least one attribute of at least one of the entity objects is modified based of the participant ID and the domain ID, which generates a modified entity object. Through a third processing thread, any event objects that have been modified are transmitted to the second database via a second API over the network.