Abstract: Systems and methods for automated and explainable machine learning to generate seamlessly actionable insights by generating explainable personas directly from customer relationship management systems are disclosed. The personas are defined as a collection of segments, scored by likelihood to generate good opportunities, accompanied ranked profile attribute importance, with descriptive names and summaries, associated human and database readable queries which have been generated to optimally find cluster candidates in a broader data universe. Such a system would effectively and accurately model the composition of past clients, perform the categorization in an explainable way such that actions can be taken on the information to have predictable results.

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: Embodiments increase the efficiency of uploading data to a remote system. An expected volume of data for upload, is calculated prior to the actual load event. This calculation allows proactive allocation of resources (e.g., processing, memory, network, disk, others) available in the remote system, in order to accommodate the load being transferred. In certain embodiments, the calculation can be based upon historical data for previous load events. According to particular embodiments, the calculation can be based upon an estimated output data volume (such as parsing the output of EXPLAIN statement for PostgreSQL) or other information provided by data source(s) or an Extract-Transform-Load (ETL) tool. Some embodiments may perform the transfer by first staging data for upload in temporary table(s) on the side of the ETL tool, prior to actually loading to the remote system. In such embodiments, record count(s) can provide a precise value of expected data load volume.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can extract of structured information for unstructured document analysis. Embodiments of the present invention can extract structured information for unstructured document analysis by identifying tables and columns of a database that correspond to business terms of a business glossary. Embodiments of the present invention can then receive a specification of business terms of interest for recognizing in an unstructured document. Embodiments of the present invention can then generate an analysis module based on the identified tables and columns that enables to identify or recognize attribute values of attributes of the tables and columns. Embodiments of the present invention can then use the analysis module for automatic extraction of values of at least part of the attributes from the unstructured document based on the specification of business terms of interest.

Abstract: In computing, an unresolved problem of high manual effort required for mapping data attributes between the source and the target systems involved in process of the data transformation. This disclosure relates to method of auto-mapping of a plurality of source data attributes and a plurality of target data attributes associated with one or more applications based on similarity of a metadata information is provided. The processor implemented method include processing, a corresponding source table to a target table based on similarity associated with a table name; determining, a candidate source data attributes for at least one target data attribute based on similarity associated with a data attribute name; computing, a weighted score of each of the candidate source data attributes for corresponding at least one target data attribute; and mapping, the weighted score to determine an association of a final data attribute.

Abstract: Techniques are described herein that are capable of providing offline support for a database cluster that includes online nodes and an offline-compatible node. For example, an operation may be performed with regard to information, which is stored by the offline-compatible node while the offline-compatible node is not connected to the online nodes via the network, based at least in part on the offline-compatible node being connected to the online nodes. In another example, an operation may be performed with regard to information, which is stored by any one or more of the online nodes while the offline-compatible node is not connected to the online nodes via the network, based at least in part on the offline-compatible node being connected to the online nodes.

Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.

Abstract: Systems and methods for data management. In some embodiments, information may be accessed from a knowledge structure associated with an entity. The knowledge structure may store both private information of the entity and state information of a distributed ledger. For instance, the knowledge structure may include an identity structure for the entity and/or an attribute structure corresponding to an attribute of the entity. The identity structure may store a pointer to the attribute structure. Additionally, or alternatively, the attribute structure may associate a value with the attribute of the entity.

Abstract: A system and method for managing data storage and data access with querying data in a distributed system without buffering the results on intermediate operations in disk storage.

Abstract: Techniques for the automatic creation and maintenance of zone maps are provided. In one technique, a set of data sets is identified. For each data set, a data set width is determined based on a maximum value in the data set and a minimum value in the data set. One or more zones within the data set are identified. For each zone, a zone width is determined based on a difference between a maximum value in that zone and a minimum value in that zone. An aggregate zone width is generated that is based on the zone width of each zone. Based on the data set width and the aggregate zone width, it is determined whether to automatically generate a zone map for the data set.

Abstract: In an approach to containerizing an existing database that currently resides on a standard operating system, responsive to determining that a non-containerized database is suitable for containerization, one or more database objects to be shifted into a container are determined. The one or more database objects are mapped to a container structure. The non-containerized database is shifted into the container based on the mapping of the one or more database objects and the container structure to create a containerized database.

Abstract: A method for database reconciliation, comprising: receiving, from one or more sources, attribute data of a plurality of attribute data types representing aspects of a product; generating a plurality of attribute categories based on the received attribute data types, each attribute category corresponding to one of the received attribute data types and containing all attribute data of the one of the received attribute data type; determining data scores for each of the attribute data contained in each of the plurality of attribute categories; generating reconciled data for each of the attribute categories, the reconciled data being the attribute data in each of the attribute categories having the highest data score; storing in a database, the plurality of attribute categories each containing reconciled data corresponding to the product; and providing, from the database, the reconciled data for display on a display interface.

Abstract: Systems and methods for disambiguating company profiles are disclosed. The system builds a database of candidate companies with timed attributes. The system further ingests timed company metadata using a PostgreSQL database. The system disambiguates location and geocoding by matching text patterns and cross-referencing one or more identified location components against one or more geocode databases and classifies and disambiguates company name component from a company name associated with the company using a conditional random field (CRF) model. Further, the system disambiguates employee attributes using a Latent Dirichlet Allocation (LDA) topic model algorithm and train a tree model for pre-selection of candidate companies for the company. The system trains a similarity model for comparison of the candidate companies and in response to a determination that two given candidate companies are same merge the company profiles associated with the given candidate companies.

Abstract: The disclosure relates to information recommendation systems and methods. The information recommendation methods may include: obtaining information selected by a user or information retrieved by the user; analyzing the selected information or the retrieval information; determining a retrieval path based on a result of analyzing the selected information or the retrieval information; retrieving other information related to the selected information based on the retrieval path; and recommend the other information to the user. The information recommendation systems may include a computer-readable storage medium; codes stored in the computer-readable storage medium; and a processor; when executing the codes, the processor may perform the above-mentioned information recommendation methods.

Abstract: The present application includes a method and system for developing a common inquiry response. The system receives at least one customer contact formed by an inquiry and its response, analyzes the customer contact to determine the content of the inquiry and the response, and stores the inquiry and the response in a corresponding inquiry-response sub-database in an inquiry-response database. After analyzing at least one of the sub-databases, the system assigns a common inquiry-response (CIR) knowledge document to that inquiry-response sub-database for future use involving similar inquiries and responses. This allows a user to respond more quickly to inquiries with a reduced risk of incorrect or inconsistent information in the response.

Abstract: Embodiments of systems and methods for information retrieval are disclosed. Embodiments of such systems and methods may perform information retrieval based on a language model that is used to generate a single vector for the search terms of a query. Similarly, a single vector representation of each of the data records to be searched is obtained and the single vector representing the search terms of the query compared to the single vector of each data record to determine a similarity metric. The resulting similarity metrics associated with each of the data records can be used to rank, present or return one or more data records.

Abstract: A summary generation apparatus generates a summary from language data, and includes a hardware processor that: classifies a word included in the language data and generates a plurality of word clusters in such a manner that words having a possibility of being related to one topic belong to an identical word cluster; selects a representative word cluster including words related to a topic representing description content of the language data from the plurality of word clusters; and generates a summary from the language data on the basis of the representative word cluster.

Abstract: Machine logic (for example, software) for performing the following operations: (i) receiving an unstructured data set including information indicative of unstructured data that includes a plurality of first independent parameter values corresponding to a first independent parameter a plurality of first dependent parameter values corresponding to a first dependent parameter; (ii) parsing the unstructured data to identify the first independent parameter, the plurality of first independent parameter values, the first dependent parameter and the plurality of first dependent parameter values; (iii) selecting a first type of graph, from among a plurality of graph types, for visually representing the relationship; and (iv) generating a first graph data set that can be used to display a first graph of the first type which visually represents the relationship.

Abstract: A method includes accessing an audiovisual composition comprising a target video segment and a source video segment. The method also includes, in response to presence of the target video segment and the source video segment in the audiovisual composition: accessing a first keyword associated with the source video segment; and calculating a first relevance score for the first keyword relative to the target video segment based on a temporal position of the source video segment in the audiovisual composition and a temporal position of the target video segment in the audiovisual composition; accessing a textual query comprising the first keyword. The method additionally includes: generating a first query result based on the textual query, the first query result comprising the target video segment based on the first relevance score; and at a native composition application, rendering a representation of the first query result.

Abstract: Implementations disclose comprehensibility-based identification of educational content of multiple content types. A method includes determining respective comprehensibility ranking signals for content items corresponding to a user request, the comprehensibility ranking signals based on learning attribute scores generated for the content items from at least one machine learning model, determining a learning level of a user corresponding to the user request, ranking the content items based on a mapping between the learning level and the respective comprehensibility ranking signals of the content items, and providing a recommendation for the content items according to the ranking of the content items.

Abstract: Disclosed herein are example embodiments that describe how a narrative generation techniques can be used in connection with data visualization tools to automatically generate narratives that explain the information conveyed by a visualization of a data set. In example embodiments, new data structures and artificial intelligence (AI) logic can be used by narrative generation software to map different types of visualizations to different types of story configurations that will drive how narrative text is generated by the narrative generation software.

Abstract: An image processing method and apparatus is provided for obtaining an image captured by an image capturing apparatus; determining characteristic data of the captured image based on inputting the obtained image into an image analysis model trained with images including a predetermined type of characteristic data; and identifying, based on the determination performed by the image analysis model, metadata including a numeric value regarding the predetermined type of the captured image.

Abstract: A sound recognition model training method comprises determining a relationship between a sound event and first parameter and deciding a second parameter in response to the relationship, performing sampling on the sound event using the first parameter and the second parameter to generate training audio files, and inputting at least part of the training audio files to a sound recognition model for training the sound recognition model, wherein a length of each of the training audio files is associated with the first parameter, a time difference between every two of the training audio files is associated with the second parameter, and the sound recognition model is used for determining a sound classification.

Abstract: A system, method and computer program product for accessing content based on an image. The method comprises comparing an image to a database of images, each of the images of the database being associated with at least one corresponding audio track, identifying those ones images of the database that correspond to the image, and identifying the at least one corresponding audio track that corresponds to the identified images. In one example aspect, the method also comprises presenting the audio track to a user. Corresponding metadata also can be presented. The images may be classified by, e.g., genre, musical album, concept, or the like, and, in cases where an input image is determined to belong to any such classes, audio content and/or metadata relating thereto are identified and presented to the user.

Abstract: A method for posting videos to an interactive media platform, includes recording audio-video content on a recorder, uploading the audio-video content to a social media application or interactive media platform, tagging the audio-video content with metadata, and uploading the video content and associated text file to the social media platform. The video can be made available for video responses from other users.

Abstract: Methods and apparatus for video matching service to offline counterpart are disclosed. An example method includes accessing an address for an online media asset, accessing metadata associated with the online media asset, wherein the metadata includes an asset attribute, determining whether the asset attribute identifies at least one of a cast member or crew member, and matching the online media asset to an offline media asset by prioritizing offline media assets having a matching asset attribute, the offline media asset including at least one of audio or video.

Abstract: A system and method are disclosed for monitoring rides in a vehicle in which a driver of the vehicle picks up a rider at a pickup location and drives the rider to a drop-off destination. The system includes at least one sensor arranged in the vehicle and configured to capture sensor data during the rides, a transceiver configured to communicate with a personal electronic device of a driver of the vehicle, a non-volatile memory configured to store data; and a processor. The system captures sensor data during a ride, determines an activity index indicating an activity level within the vehicle during the ride, and stores the sensor data captured during the ride with the activity index as metadata. In response to an upload request, the system uploads sensor data depending on the activity level.

Abstract: A non-transitory computer-readable storage medium storing a set of instructions executable by a processor. The set of instructions is operable to receive a current patient set of data relating to a current patient; compare the current patient set of data to a plurality of previous patient sets of data, each of the previous patient sets of data corresponding to a previous patient; select one of the previous patient sets of data based on a level of similarity between the selected previous patient set of data and the current patient set of data; and provide the selected previous patient set of data to a user.

Abstract: This disclosure relates to method and system for generating and rendering a customized dashboard. The method includes initiating a schema-less dashboard canvas through a frontend application that invokes a server-less library. The method further includes integrating a set of widgets selected by a user, from the plurality of native widgets and from the plurality of third-party widgets, with the schema-less dashboard canvas using the server-less library. The method further includes generating metadata for each of the set of widgets based on a corresponding configuration performed by the user. The method further includes associating the metadata with a user account of the user for subsequent rendering of the customized dashboard for the user.

Abstract: A data processing method includes receiving data from a plurality of sources, generating a knowledge graph, and identifying potentially ambiguous particular nodes. For each of the particular nodes a semantic neighborhood is constructed including the particular node and a plurality of nodes within a particular degree of separation from the particular node, the particular node is omitted from the semantic neighborhood, a plurality of groups of connected nodes are determined in the semantic neighborhood, a plurality of instances of the particular node are defined, a plurality of substitute nodes are generated based on the plurality of instances, and each of the plurality of groups of connected nodes are connected to one of the plurality of substitute nodes to update the knowledge graph. A query is received via a network. Query results are retrieved out of the updated knowledge graph, and the query results are rendered accessible.

Abstract: In some examples, an anomaly database system is provided for processing metrics in telemetry data. An example anomaly database system comprises a continuous data management (CDM) node, the CDM node including a metrics library for sending out system metrics in a sparse manner and a statistics relay for receiving streaming metrics from nodes in a node cluster, the node cluster including the CDM node, the statistics relay pushing the received metrics to a metrics collector. A sparse consumers module pulls metrics, from the metrics collector, pushed to the metrics collector by the statistics relay.

Abstract: Disclosed herein are systems and methods for population of a file-catalog table for a file stage in a user account on a data platform. In an embodiment, a data platform receives, from a client associated with a user account, a request to populate a file-catalog table of the user account based on a plurality of files stored in a file stage of the user account. The data platform responsively executes a list-files table function with respect to the file stage to generate a database-table object having a row for each file stored in the file stage. The data platform populates the file-catalog table of the user account based on the database-table object generated by the list-files table function.

Abstract: A session recommendation method, a device and an electronic device are provided, related to the field of graph neural network technology. The session recommendation method includes: acquiring a session control sequence, and acquiring a first embedding vector matrix based on an embedding vector of each of items in the session control sequence; generating a position information sequence based on an arrangement sequence of the items in the session control sequence, and acquiring a second embedding vector matrix based on an embedding vector of each piece of position information in the position information sequence; determining a target embedding vector matrix based on the first embedding vector matrix and the second embedding vector matrix; and determining a recommended item, based on the target embedding vector matrix and through a Session-based Recommendation Graph Neural Network.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for replying to a user. The exemplary embodiments may include a user asking one or more questions to one or more devices, collecting data of the user and data of the one or more commands, extracting one or more features from the collected data, and determining an appropriate reply and manner of reply based on the extracted one or more features and one or more models.

Abstract: The present disclosure provides a private server detection method through a computer, the method comprising: checking a banner in a database; determining whether a keyword is included in the banner; accessing a web page corresponding to the banner when the keyword is included; determining whether an operating server of the web page is a private server, based on a meta tag of the web page; generating information related to the operating server by crawling the web page when the operating server is a private server; and adding the generated information to the database, wherein the web page corresponds to an IP address and a port number from which the banner is obtained.

Abstract: Various embodiments provide for systems, methods, and computer-readable storage media that improve media content search functionality and curation of media content. For instance, various embodiments described in this document provide features that can present media content items in the form of dynamic collection of media content items upon a user typing into a search bar. In another instance, various embodiments described herein improve media content search functionality by ranking user facing search features using input signals.

Abstract: Particular embodiments described herein provide for a system that can be configured to determine an identification (ID) of a computer processing unit (CPU) using one or more tests and/or measurements, intercept the result of a query from a process to determine the ID of the CPU, replace the result of the query if the result of the query does not match the determined ID of the CPU, and communicate the result of the query that includes the determined ID of the CPU to the process. In an example, the query is a CPUID opcode and the results of the query are intercepted after passing through a hypervisor.

Abstract: A computer-implemented communications method is discussed. The method includes receiving a typed user input in a texting conversation on an electronic communication channel between two or more users of electronic communications devices; analyzing the user input to identify whether the user input contains a reserved word for triggering a search; submitting a search query received in association with the reserved word to a search engine, if the user input contains a reserved word; receiving one or more search results from the search engine; and providing, in the electronic communication channel for incorporation into the texting conversation, at least one of the one or more search results.

Abstract: The described technology relates to developing and/or maintaining dashboards in enterprise web applications. In some aspects, a portal web application is configured to provide a user interface on a client device to create or modify a dashboard which includes a first plurality of widgets. A second plurality of widgets includes widgets published to the portal web application from a plurality of subscriber web applications, where each of the second plurality of widgets is used in at least one of said subscriber web applications, and the first plurality of widgets includes one or more widgets from the second plurality of widgets. In some other aspects, a dashboard management service is provided by which respective enterprise web applications can create and host widgets while sharing the same with other enterprise web applications which use dashboards developed using the dashboard management service.

Abstract: A computer-implemented method, a computer program product, and a computer system for influence maximization on a social network. A computing device or server receives a graph of a social network and a user contextual tensor. With a tensor regression model, the computing device or server predicts activation probabilities of respective first users influencing respective second users, using a tensor inner product of the user contextual tensor and a susceptibility tensor and using an upper confidence bound. The computing device or server determines a set of seed users that maximizes influence in the social network, based on the activation probabilities. The computing device or server updates the susceptibility tensor by machine learning, based on user responses online and the user contextual tensor. The computing device or server updates the activation probabilities and the set of the seed users, based on an updated susceptibility tensor.

Abstract: Provided are a search method and apparatus for an electronic map, a device and a medium that relate to the field of electronic map technology. The implementation solution includes determining whether target search information input by a user is event-type search information; in response to the target search information being the event-type search information, extracting target event content from the target search information; and determining a target POI based on the target event content and event attribute information associated with a POI in the electronic map and using the target POI as a search result. The event attribute information includes at least event content.

Abstract: A system and a method are disclosed that enable a mobile device to use an encoded tag to initiate and maintain communications with at least one remote server. The encoded tag is positioned to identify a point of interest, and in response to using the mobile device to scan the encoded tag, communications regarding the point of interest may be initiated. A single encoded tag may be used to obtain and update recorded information about the point of interest, to notify others about an issue related to the point of interest, to log into the system, and to wait to be alerted about an issue related to the point of interest. If an issue relating to a point of interest has been reported, the system and method may monitor the reported issue to ensure that an action has been taken to address the reported issue.

Abstract: A system and a method are disclosed that enable a mobile device to use an encoded tag to initiate and maintain communications with at least one remote server. The encoded tag is positioned to identify a point of interest, and in response to using the mobile device to scan the encoded tag, communications regarding the point of interest may be initiated. A single encoded tag may be used to obtain and update recorded information about the point of interest, to notify others about an issue related to the point of interest, to log into the system, and to wait to be alerted about an issue related to the point of interest. If an issue relating to a point of interest has been reported, the system and method may monitor the reported issue to ensure that an action has been taken to address the reported issue.

Abstract: A system and a method are disclosed that enable a mobile device to use an encoded tag to initiate and maintain communications with at least one remote server. The encoded tag is positioned to identify a point of interest, and in response to using the mobile device to scan the encoded tag, communications regarding the point of interest may be initiated. A single encoded tag may be used to obtain and update recorded information about the point of interest, to notify others about an issue related to the point of interest, to log into the system, and to wait to be alerted about an issue related to the point of interest. If an issue relating to a point of interest has been reported, the system and method may monitor the reported issue to ensure that an action has been taken to address the reported issue.

Abstract: Dynamic link preview generation techniques are described that overcome the challenges of conventional techniques by supporting link preview generation by a content provider system that proves the digital content via a respective network address. In one example, a content provider system, based on a request received from a service provider system, identifies a communication platform of the service provider system that is to be used to communicate the shared link. Upon identifying the communication platform, the content provider system locates customization data that describes how the link preview is to be generated for the communication platform. In response, the content provider system renders digital content available via the network address to generate the link preview.

Abstract: In one embodiment, a method includes accessing a current-visitor context of a current visitor to a web page in a current web-browsing session. The current-visitor context includes one or more data associated with or concerning the current visitor. The method includes selecting based on the current-visitor context a particular one of multiple possible instances of the web page for presentation to the current visitor. The particular one of the multiple possible instances of the web page is substantially most likely to generate a highest expected outcome from interaction with the web page by the current visitor as indicated by the current-visitor context.

Abstract: An imputation method for a nonnegative symmetric matrix includes: obtaining an input symmetric matrix which includes multiple continuous void values; taking a difference between the input symmetric matrix and a target matrix as an input of a half quadratic function to form an objective function; and performing an optimization algorithm based on the objective function to compute elements of the target matrix.

Abstract: A method and circuit for performing vector-matrix multiplication may include converting an input vector of binary-encoded values into analog signals using one-bit DACs, and sequentially performing a vector-matrix multiplication operation for each bit-order. The method may also include, for each sequentially performed operation, operating a switch that corresponds to a current bit-order. Operating the switch may cause a value corresponding to an output of the multiplier to be stored on a capacitor corresponding to the current bit-order. A time interval during which the switch is operated may be non-uniform with respect to time intervals for other switches, and the time interval may be based at least in part on a settling time of the capacitor. The method may also include performing a bit-order weighted summation of values stored on the plurality of capacitors to generate a result of the vector-matrix multiplication.

Abstract: A matrix processing engine is provided for efficient matrix computation performed by a dense matrix compute circuit (performing SIMD operations) and a scalar computing core (performing SISD operations). These two processing components operate together to produce output data tiles by feeding results of the dense SIMD operations to the scalar computing core using thread packing and an in-line buffer for accumulating and packing the dense result data. This permits the scalar computing to spawn threads to operate on the dense results as available and without requiring partial or intermediate data read/writes between the dense and scalar computations.

Abstract: A matrix processing method performed by a graphics processing unit (GPU) includes: determining a plurality of non-zero elements in a to-be-processed matrix at a processor in the GPU; generating a distribution matrix of the to-be-processed matrix at the processor, where the distribution matrix comprises identities for indicating positions of the plurality of non-zero elements in the to-be-processed matrix; obtaining a target matrix from another matrix by using the distribution matrix at a logic circuit in the processor, where the target matrix comprises a plurality of target elements from the another matrix; and performing matrix processing on the plurality of non-zero elements and the target matrix to obtain an operation result at the processor.