Abstract: Embodiments of systems and methods for the conversion of documents to reusable content types are disclosed herein. Embodiments may extract the content and metadata of the original document and identify a set of reusable resources from the content and metadata. These reusable resources can each be one of a set of content types common across a plurality of document authoring platforms. Each of the content types may be represented using a content type object associated with that content type. The reusable resources identified by the parsing of the content and metadata of the original document may thus be represented with corresponding reusable objects in a content type format common to a plurality of document authoring tools.

Abstract: Systems and methods are disclosed for receiving and executing a query received from a data intake and query system and providing results to a first group of worker nodes in a distributed execution environment. The query identifies a set of data to be processed and a manner of processing the set of data. Based on the query, the system defines a query processing scheme, and generates instructions for a second group of worker nodes to obtain the set of data from one or more dataset sources and to process the set of data. The system communicates results of the query to the first group of worker nodes.

Abstract: Embodiments of the present disclosure are directed to an interactive development environment (IDE) interface that provides historical visualization of queries and query result information iteratively and intuitively. According to an embodiment of the present disclosure, a process is provided to generate visualizations of queries and processed query result information in a single, persistent, integrated display. Each query and resultant search data information is presented iteratively in chronological order, and maintain a persistent, viewable history of a search data exploration session.

Abstract: Embodiments may provide methods and systems for intelligent capture and fast transformation of granulated data summaries. An engine may be used to transform input data summaries into result sets representing query outcomes. The data summaries contain enough knowledge about the original data to accurately perform operations on the summaries without needing to access the original data. In an embodiment, the contents of data summaries are accessible via an SQL approximate engine which retrieves summaries stored on disk and utilizes them for its operations. Alternatively, the contents of data summaries are accessible via virtual tables which give users direct access to the summary contents and allow for the creation and implementation of algorithms to work with the data summaries independently from the SQL approximate engine.

Abstract: Ranking system metrics for monitoring by sorting members of a set of system metrics into correlation groups according to correlations among historic time series data, determining a sensitivity of the members of the set of system metrics, determining an importance of the members of the set of system metrics according to the correlation groups and sensitivity, and ranking the members of the set of system metrics according to the importance.

Abstract: A management entity receives device fingerprints representing corresponding devices connected to one or more networks. Each device fingerprint includes a multi-bit word indicating hardware, software, network configuration, and failure features for a corresponding one of the devices. The management entity processes the device fingerprints using different methods including statistical risk of failure scoring methods and machine learning risk of failure scoring methods, to produce from each of the methods a respective risk of failure for each device. The management entity combines the respective risk of failures for each device into a composite risk of failure for each device, ranks the devices based on the composite risk of failures for the devices, to produce a risk ranking of the devices, and outputs the risk ranking.

Abstract: Embodiments provide a social networking platform offering various services, such as, facilitating aggregation and management of a user's interaction on one or more social networking platforms, offering enhanced control over the level of privacy associated with the flow of user data, offering tools to customize the user's exposure to advertisement-related content on the social networking platform(s), integrating features to control aspects of how data/content is presented to and visualized by the user, empowering the user to multicast direct messages to other users without the other users having to meet certain constraints, empowering the user to create and/or join a group based on messaging threads, and the like. One or more of these enhanced services/features are associated with a powerful framework of authentication/permission model for access control.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically generate and provide an interactive rich set of personalized query suggestions within a unified framework. The disclosed systems and methods are able to integrate attributes associated with message data and metadata by transforming such attributes into facets that are combined with term suggestions and presented to the user in a unified manner. The instant disclosure provides an interactive search suggestion mechanism that narrows the search as the user interacts with the dynamically generated and provided suggestions.

Abstract: Extensions to add functionality to an extensible computing technology development tool are identified based at least in part on whether they support a media type that is associated with a file being opened in the development tool. The extensible tool may be a software development tool or a hardware development tool. Complex recommendation mechanisms in the form of collaborative filtering, user preference history content-based filtering, and demographic profile-based recommendations, are avoided, thereby making recommendation actions faster and less resource-intensive. Users have discretion as to how often a tool extension marketplace is searched, and discretion as to how much detail is shown in presenting the search results.

Abstract: Disclosed is a method of managing a network of field-specific entity records. The method comprises accessing the network of field-specific entity records comprising at least one pair of field-specific entity records within at least one field segment, wherein the at least one pair of field-specific entity records is associated with relations therebetween, and wherein the at least one pair of field-specific entity records comprises a first pair of field-specific entity records and at least one second pair of field-specific entity records; determining a weightage score of each of the relations between the at least one pair of field-specific entity records; determining an importance score of each field-specific entity record; determining a change in the importance score, and/or the weightage score of a relation between field-specific entity records of the at least one second pair of field-specific entity records; and updating the network of field-specific entity records.

Abstract: According to one embodiment, a method, computer system, and computer program product for creating a social network in augmented reality (AR) based on focus objects is provided. The present invention may include monitoring an augmented reality session of a user; detecting focus objects of a user during the augmented reality session; labeling the detected focus objects with indications of interest; associating the labeled detected focus objects with additional users; and establishing, based on the labelled detected focus objects, a social network, where the social network contains focus objects sourced from additional users.

Abstract: A system enables client to convert a command, which specifies applying a search pattern to a data object that is stored by server, into at least one part of an input file, which specifies applying the search pattern to the data object that is stored by server, and to write at least one part of the input file to server, in response to receiving the command. The system reads the data object from server, in response to reading at least one part of the input file. The system generates a match result by applying the search pattern to the data object. The system writes at least one part of an output file, comprising the match result, to client, thereby enabling client to read at least one part of the output file and to convert at least one part of the output file into a response, comprising the match result, to the command.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for expanding user segments automatically utilizing user embedding representations generated by a trained neural network. For example, a user embeddings system expands a segment of users by identifying holistically similar users from uniform user embeddings that encode behavior and/or realized traits of the users. Further, the user embeddings system facilitates the expansion of user segments in a particular direction and focus to improve the accuracy of user segments.

Abstract: A request may be received from a user through a user interface an issued independent claim of a patent may be automatically compared to a pre-allowance published independent claim of an application of the patent to identify a unique keyword present in the issued independent claim but not present in the pre-allowance published independent claim. The unique keyword may be flagged to the user by highlighting the unique keyword in the user interface. A first prior art document may be retrieved using the flagged unique keyword. A unique keyword overlap score may be calculated for the first prior art document based on occurrences of the unique keyword in the first prior art document. A graphical representation of an identity of the first prior art document, the unique keyword, and the unique keyword overlap score may be generated for display in the user interface. The graphical representation may be displayed along with a graphical timeline based on a priority date of the first prior art document.

Abstract: Systems and methods are described herein for automatically identifying spam in social media comments based on a comparison of the content of a particular comment on a popular or trending post with content of other comments on the same or other popular or trending posts on the same or other social media platforms. Comments associated with each post are compared to determine whether content of a comment associated with one post is similar to, or matches, content associated with another post of a different trending topic. In response to determining that the content of a comment associated with one post is similar to the content of a comment associated with another post, the two comments are identified as spam, and a notification is generated for display to an administrator of the social media platform identifying the two comments as spam.

Abstract: Provided are a device and method for sharing big data using a blockchain. The method of sharing big data using a blockchain includes receiving a search condition from a user terminal, searching a blockchain network for metadata meeting the received search condition and acquiring found metadata, acquiring shared data stored in a distributed storage using the acquired metadata, and transmitting the acquired shared data to the user terminal.

Abstract: According to an embodiment of the present invention, a plurality of networked sensing devices monitor one or more activities of a first user, wherein the one or more activities of the first user are associated with a subject area. Information associated with the one or more activities of the first user from the plurality of networked sensing devices is analyzed to determine a level of expertise of the first user with respect to the subject area. A review by the first user is generated for an item offered on a network site, wherein the item pertains to the subject area. The item is displayed on the network site with the review and determined level of expertise of the first user in response to a search for the item for a second user.

Abstract: A web-based client server architecture for screening companies includes sophisticated searching algorithms that allow for selective and precise screening of company documents and other information to assist an analyst is assessing the company.

Abstract: Provided are methods, systems, and computer-program products for responding to a natural language communication, sending a response to request additional information from a user, and exposing an invocable method for accessing a virtual database. Some examples relate to a bot server that can respond to natural-language messages (e.g., questions or comments) through a messaging application using natural-language messages. Other examples relate to storage of event data associated with a web page or a mobile application. Event data can describe one or more actions performed in relation to the web page and/or the mobile application. Other examples relate to behavioral analytics of the event data.

Abstract: Example search quality improvement systems and methods are described. In one implementation, a search implementation engine receives a request for an item that includes a first color. The search implementation engine identifies a color representation associated with the first color and determines a second color perceptually similar to the first color based on the color representation. The search implementation engine then identifies an instance of the item having a second color and communicates data associated with the instance of the item to a source of the request.

Abstract: A natural language query can be received at a main natural language processor inside a data protection compliance boundary in a computer system. The natural language query can be processed via the main natural language processor. The data from the query can be transmitted to a data protection computer component. It can be determined via the data protection component whether the data from the query includes protected data whose transmission to a computerized extension would violate a computer-readable data protection rule. The extension is outside the compliance boundary in the computer system and is configured to participate in responding to natural language queries received by the main natural language processor. In response to determining that the data from the query includes the protected data, transmission of the protected data from the main natural language processor to the extension as part of responding to the query can be inhibited.

Abstract: A computer-implemented method includes displaying a bot client application including an active channel indicator, receiving bot input, analyzing the bot input, generating an output, and displaying the output. A smart building system includes a processor and a memory storing instructions that, when executed by the one or more processors, cause the system to display a bot client application including an active channel indicator, receive bot input, analyze the bot input, generate an output, and display the output. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to display a bot client application including an active channel indicator, receive bot input, analyze the bot input, generate an output, and display the output.

Abstract: Generating a compliance framework. The compliance framework facilitates an organization's compliance with multiple authority documents by providing efficient methodologies and refinements to existing technologies, such as providing hierarchical fidelity to the original authority document; separating auditable citations from their context (e.g., prepositions and or informational citations); asset focused citations; SNED and Live values, among others.

Abstract: The operation of an automatic data input and query system is controlled by well-defined control data. Certain control data may relate to data schemas and direct operations performed by the system to extract fields from machine data. Automatic methods may determine proper field extraction control information by analyzing a sample of data from a source, breaking the sample data into event segments, classifying the segments into groups based on a measure of similarity, determining an operable extraction rule for each group, and storing the resulting extraction model. Data patterns known by the system can be leveraged to perform the event breaking and field identification for the classifying. Embodiments may provide a user interface to view, interact with, and approve the computer-generated extraction model.

Abstract: A user device includes a processing unit that executes a search application. Executing the search application causes the processing unit to receive a user search query, send the user search query to a plurality of target applications, and receive a set of search results from each of the target applications. Each search result includes application state access data configured to access an application state of the target application associated with the search result. Executing the search application causes the processing unit to rank the search results, display the ranked search results, and detect user selection of one of the displayed search results. Additionally, executing the search application causes the processing unit to send the application state access data associated with the selected search result to the target application associated with the selected search result and display the application state accessed using the application state access data.

Abstract: A maintenance subsystem of a database-management system (DBMS) receives a database query that requests access to data stored in a database column. The subsystem retrieves or infers frequent-value statistics for that column, each of which specifies the number of times one distinct value is stored in the column. The statistics are partitioned into Keep and Discard clusters and, using statistical or other computational methods based on the column's data distribution, the subsystem determines an optimal number of the statistics that should be kept by the DBMS in order to minimize cost, errors, or other parameters desired by an implementer. The subsystem then directly or indirectly directs a query-optimizer component of the DBMS to consider the optimal number of frequent-value statistics when selecting an optimal data-access plan. The selected plan is then used by the DBMS's storage-manager component to access the column when servicing the received query.

Abstract: A computing device selects a sample of data values from an existing data column in a data source. The device generates statistics describing occurrence of consistent delimiters within the sample of data values. The device identifies a first delimiting location within the sample of data values in accordance with the generated statistics. It also creates first and second new data values by splitting each data value in the existing data column at the first identified delimiting location. It stores the first and second new data values in first and second new data columns, respectively, and assigns field names to the first and second new data columns. The device further displays, in a data visualization user interface, the assigned field names and a data visualization generated according to the first new data values based on user selection of the assigned field name of the first new data column.

Abstract: A method and apparatus of a device that re-rank a plurality of search results received from a search server on the device is described. In an exemplary embodiment, the device receives, with a browser of the device, a search query from a user. The device further sends the search query to a search server. In addition, the device receives the plurality of search results from the search server, wherein the plurality of search results is ranked according to a first ranking. The device also retrieves browser history of the user, wherein the browser history is collected on the device without revealing the browser history to the search server. The device further re-ranks the plurality of search results according to a second ranking based on at least the browser history. In addition, the device presents the plurality of search results using the second ranking.

Abstract: A system and method for configuring a performance analytics (PA) software application is disclosed. The system may be disposed within a computational instance of a remote network management platform that remotely manages a managed network. The system may include a database of content plugins for configuring respective key performance indicator (KPI) modules, each implementing PA applied to an associated KPI of the managed network. Configuring the KPI modules may specify respective graphical configurations of a dashboard for displaying graphical representations of the associated KPI in a graphical user interface (GUI) within the managed network. A gallery of icons each identifying a plugin may be displayed in, and selected from, the GUI. A selected plugin may then be installed via a common plugin interface, whereby an associated KPI module becomes configured and ready for execution.

Abstract: The context in which a user generates a search query is analyzed to generate an improved search query. Search query context may be determined with reference to a user profile or content collected from Internet of Things (IoT) or non-IoT devices located proximate the user. Content may be collected when the search query is generated or at a time before the search query is generated. Content collected for context analysis includes visual display content (screen capture), audio content, and data content.

Abstract: A study design guide method, system, and computer program product, include specifying a search parameter, analyzing a collection of unstructured documents using the search parameter, creating a list of informative terms and informative phrases related to design of a study cohort, and creating a visualization reflecting a level of importance, a frequency, and a relevancy of the informative terms and the informative phrases in relation to each other for a study design using the study cohort.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system organizes fact data to be aggregated into sliding time window features and observation data associated with the fact data into a set of partitions based on a join key. Next, the system sorts the fact data and the observation data within the set of partitions by the join key and timestamps associated with the fact data and the observation data. For each observation record in the observation data, the system aggregates fact records in the sorted fact data that share a value of the join key with the observation record and that fall within a first time window associated with the observation record to produce a sliding time window feature. The system then stores the sliding time window feature in association with the observation record.

Abstract: The disclosed embodiments include a system that has a processor for executing computer-executable instructions and a computer-readable storage media for storing the computer-executable instructions. These instructions, when executed by the processor, enable the system to receive prescription data of a patient for corrective lenses and image data associated with the face of the patient. The system is configured to determine lens attributes for the patient based upon the prescription data and also determine facial attributes of the patient from the image data. Based on the lens attributes and the facial attributes of the patient, the system determines at least one frame recommendation for the patient.

Abstract: Disclosed herein are computer-implemented method, system, and computer-program product (computer-readable storage medium) embodiments for benchmarking with statistics in a way that reduces leakage, preserving privacy of participants and secrecy of participant data. An embodiment includes receiving a plurality of encrypted values and computing a composite statistic corresponding to at least a subset of the plurality of encrypted values. An embodiment may further include outputting the at least one composite statistic. The composite statistic may be calculated to be distinct from any encrypted value of the plurality of encrypted values, thereby preserving privacy. Further embodiments may also include generating a comparison between the composite statistic and a given encrypted value of the plurality of encrypted values, as well as outputting a result of the comparison.

Abstract: The present disclosure includes systems and techniques relating to ranking search results of a search query. In general, the subject matter described in this specification can be embodied in a computer-implemented method that includes determining a measure of relevance for a document result within a context of a search query for which the document result is returned, the determining being based on a first number in relation to a second number, the first number corresponding to longer views of the document result, and the second number corresponding to at least shorter views of the document result; and outputting the measure of relevance to a ranking engine for ranking of search results, including the document result, for a new search corresponding to the search query. The subject matter described in this specification can also be embodied in various corresponding computer program products, apparatus and systems.

Abstract: A computer-implemented method, cognitive intelligence system and computer program product adapt a relational database containing multiple data types. Non-text tokens in the relational database are converted to a textual form. Text is produced based on relations of tokens in the relational database. A set of word vectors is produced for the tokens based on the text. A cognitive intelligence query expressed as a structured query language (SQL) query may be applied to the relational database using the set of word vectors. The form of non-text tokens is one of a numeric value, an SQL type, an image, a video, a time series, latitude and longitude, or chemical structures. A single word embedding model may be applied over one or more tokens in the text. A plurality of sets of preliminary word vectors are computed by applying more than one embedding model over all tokens in the text. The preliminary word vector sets are merged to form the set of word vectors.

Abstract: Examples of the present disclosure describe systems and methods that provide a pipeline to generate personalized queries that are associated with and based on a user's interests determined from a user's past searches, on an Internet search engine, and/or the content the user viewed from the past searches. The suggested queries can be shown in a user interface component associated with the user interface of the search engine and before the user enters anything, such as a new Internet search. This pre-population of searches associated with a user's interests gives an opportunity to the user to try these queries without manually entering in a search string.

Abstract: A key frame scheduling method and apparatus include: performing feature extraction on a current frame through a first network layer of a neural network to obtain low-layer features of the current frame acquiring a scheduling probability of the current frame according to low-level features of a previous key frame adjacent to the current frame and the low-level features of the current frame; determining whether the current frame is scheduled as a key frame according to the scheduling probability value of the current frame; and when determining that the current frame is scheduled as a key frame, performing feature extraction on low-level features of a current key frame via a second network layer of the neural network to obtain high-level features of the current key frame, where the network depth of the first network layer is less than the network depth of the second network layer.

Abstract: The disclosure herein describes providing a data query service to a user based on natural language request data. The natural language request data is obtained from a user interface and a query structure is populated based on the natural language request data. The query structure is compared to stored queries and, based on identifying a stored query that matches the query structure, the user is prompted to confirm or reject that the identified query be performed. Based on receiving a confirmation of the identified query from the user, the identified query is selected for performance. Alternatively, based on receiving a rejection of the identified query from the user, a query based on the query structure is generated and selected for performance. The selected query is then performed on at least one data source and query output from the performed query is provided to the user.

Abstract: An information processing apparatus includes: a memory to store report policy information for determining filtering processing to be applied to log data to be transmitted to a server. The report policy information associates, for each report policy, information defining a condition for applying filtering processing to the log data and information indicating a type of filtering processing to be applied to the log data. The information processing apparatus further includes circuitry to: receive, from each of a plurality of devices through a second network, log data indicating a log of processes that have been executed by the device; specify, from among the received log data, log data that matches the condition for applying filtering processing; apply filtering processing to the specified log data; and transmit the log data to which the filtering processing is applied, to the server through the first network.

Abstract: A search apparatus includes a first control unit that, in a case of displaying a search result of content information searched with a selected search word, performs control such that recommended words corresponding to the search word are displayed; a second control unit that, in a case of displaying a search result of content information searched by adding a selected recommended word, which is selected from the recommended words, as a search word, performs control such that the selected recommended word is displayed in a search word display region at which the search words are displayed, and the recommended words corresponding to the selected search word and the added search word are displayed; a reception unit that receives a stored search word, out of the selected search word and the added search word, the stored search word being displayed in a storage state indicating that the stored search word is not used for search of the content information but is capable of being reselected; and a third control unit

Abstract: Methods, systems, and computer-readable media provide a real-time Q&A interface, such as an online chatbot, either standing alone or as a live agent assistant, with predicative Q&A and resource suggestions. In one embodiment, the real-time Q&A interface uses data extracted from a user inquiry to identify and display a primary response, identify suggested inquiries from a knowledgebase and provide a user-selectable suggested inquiries indicator, and identify suggested content items from related content libraries or webpages and provide user-selectable suggested content item indicators. In one embodiment, the suggested content items include related videos and links to webpages with related content.

Abstract: A technique is described including taking a research paper of interest (target paper) and identifying concepts within it based on topic analysis among bibliometric clusters; identifying descriptions of each concept across bibliometric clusters wherein the descriptions will be of varying levels of granularity and will use different terms to describe the same concept or phenomena; using the various descriptions of a concept to create search terms to be used in a repository of annotated, searchable source code snippets; and constructing implementation of target paper's methodologies using source code snippets.

Abstract: Systems and methods for overlaying video segments of actions of audience members with video segments of an event performer are described. A computer implemented method includes: identifying, by a computer device, an event performer in video content; identifying, by the computer device, an audience member in the video content that has a social network relationship to the event performer; correlating, by the computer device, an action of the event performer in the video content to an action of the audience member in the video content; and generating, by the computer device, a composite image comprising an image of the action of the event performer and an image of the action of the audience member.

Abstract: Embodiments of the present disclosure pertain to point cloud data. In one embodiment, the present disclosure includes a computer implemented method comprising for compressing and storing point cloud data using a space-filling curve data structure and a dictionary space data structure. In another embodiment, the present disclosure includes applying a query against the data structures to retrieve point cloud data within a range.

Abstract: In one embodiment, a method includes accessing a social graph maintained by an online social network, the social graph including nodes and edges connecting the nodes, each edge representing a relationship between two of the nodes. The method also includes receiving an indication that a first user of the online social network has interacted with a content object posted by a second user of the online social network, wherein the content object is associated with a first entity. The method also includes accessing user data associated with the first user and entity data associated with the first entity. In response to receiving the indication, the method identifies one or more prompts based on the user data and the entity data. Finally, at least one of the prompts is sent to a client device of the first user for display.

Abstract: A search method includes: determining at least one first search policy matching a to-be-searched query text, where each first search policy corresponds to at least one first text index field and a search weight matching the first text index field; performing a search operation for the query text based on each first text index field corresponding to each first search policy and a search weight matching the first text index field; and merging and outputting search results of all the search operations.

Abstract: In accordance with various embodiments of the present disclosure, a data intake and query system (DIQS) performs a query on event data to return a result data set. A client device receives an input that includes one or more text strings and expands the received input into a multi-field search query, which is transmitted to the DIQS. The DIQS then parses the result data set by performing the multi-field search query on the result data set to return at least one event that includes one or more fields that have one or more values that correspond to the one or more text strings. The at least one event may then be caused to be displayed by the client device through a graphical user interface.

Abstract: Examples are described herein that relate to determining a level of relatedness between datasets. An approximation can be made of whether an entry in a first dataset appears in a same row as an entry in a second dataset. The approximation can be made by grouping entries in the second dataset together and determining an occurrence that an entry occurs in a same row as any of the entries in a grouping of entries. A test of independence between datasets can be made based at least on the occurrence values. Datasets can be ranked according to level of independence and presented to a user as candidates to join with a dataset. Occurrence values or rankings can be precomputed and available for use so that join candidates can be presented with a little amount of perceived delay to a user. A user interface can present join candidates for a dataset and allow the user the select datasets for joining. Joining of first and second datasets can supplement entries in both of the datasets and create a third dataset.

Abstract: According to a computer-implemented method, a cognitive model container is created. The container includes a set of artifacts. Each artifact includes 1) content used by a cognitive service to convert unstructured text into structured text and 2) metadata. During deployment of a container, for each artifact a set of deployment descriptors are automatically identified. The deployment descriptors identify how the artifact is to be executed in the cognitive service. Also, during deployment of the container, content of an artifact is pushed to a number of cognitive services based on the deployment descriptors. The container is instantiated along with the set of artifacts to the cognitive service. During runtime execution of the container, content of each artifact in a container is obtained and unstructured text is converted into structured text based on the content of the artifacts.