Abstract: A method, computer system, and a computer program product for recasting repetitive messages is provided. Embodiments may include receiving, by a processor, a message. Embodiments may include determining, by the processor, whether the received message is repetitive. Embodiments may include rating, by the processor, an importance level of the received message. Embodiments may include determining a preference for recasting the received message.

Abstract: A media segment of audio or video content can be identified by deriving data from media content and comparing the data to a reference database to identify the video segment. The speed and accuracy of the media identification process can be improved by advantageously partitioning the indexes in subdivisions where high value reference information is separated from the bulk information.

Abstract: A system and method for table conversion including converting a table containing text in tabular form to an image, labeling each text area of the image with a bounding box, determining for each bounding box, a position information, a semantic information, and an image information, reconstructing the image into a graph form having a plurality of nodes, wherein each node represents the bounding box of the text areas of the image, inputting at least two nodes into a trained neural network to determine a relative relationship between the at least two nodes, building a knowledge graph using the relative relationship of the at least two nodes, and translating the knowledge graph into machine readable natural language.

Abstract: An example method disclosed herein includes receiving a request for content items relevant to a concept within a first knowledge space, where the first knowledge space includes a plurality of concept groupings of a plurality of nodes representing a plurality of content items. The method further includes identifying a plurality of content items in a second knowledge space relevant to the concept and receiving a selection of one or more of the content items for addition to the first knowledge space. The method further includes adding the selected content items to the first knowledge space.

Abstract: Systems and techniques that facilitate keyword-object taxonomy generation and utilization are provided. In various embodiments, a system can comprise a receiver component that can access an input object class. In various aspects, the system can comprise a taxonomy component that can output one or more keyword combinations that are non-redundant and relevant to the input object class, based on querying a keyword-object taxonomy. In various instances, the receiver component can access (and/or be provided with an electronic link to) a set of recorded keyword combinations and a set of recorded object classes respectively corresponding to the set of keyword combinations. In various cases, the taxonomy component can generate the keyword-object taxonomy based on the set of recorded keyword combinations and the set of recorded object classes.

Abstract: Embodiments for handling configuration drift in a data storage system having a plurality of storage nodes. A configuration drift manager system defines a golden configuration dataset for the data storage system, obtains a current configuration dataset of each storage node of the plurality of storage nodes, each of the golden and configuration datasets comprising a plurality of sentences defining a node configuration parameter; determines a distance between each sentence of the golden configuration dataset with each other sentence of the current configuration datasets for each of the plurality of storage nodes; ranks each node based on a distance of its sentences with the golden configuration dataset, and triggers an action on a corresponding node based on its respective ranking.

Abstract: This application relates to a user-customized question-answering system based on a knowledge graph that can answer questions accurately. In one aspect, the system includes a user interface configured to receive a question or a reply in the form of a natural language from a user and transmit an answer or reverse question to the user, through a network, and a natural language understanding unit configured to perform natural language analysis and question classification. The system may also include an integrated knowledge graph configured to store or manage a knowledge graph including multi-order relationship triples and a knowledge graph management unit configured to generate a context knowledge graph having entity knowledge graphs and select at least one entity knowledge graph from among the entity knowledge graphs. The system may further include a question target ranking unit configured to generate the answer or the reverse question for the question.

Abstract: Provided is an invention for efficiently searching for books used in training to reduce metathesis. A book search database storage unit 110 stores a book search database in which information identifying a book, information regarding a frequency of a proximity number for a mora character notation pair appearing in forward order in the book, and information regarding a frequency of a proximity number for the mora character notation pair appearing in reverse order are associated with each other. A display unit 300 displays a book search screen including a correctly pronounced phrase input region and an incorrectly pronounced phrase input region. A subject pronunciation designation unit 120 determines two mora character notations and a proximity number to use as search conditions based on an input of the correctly pronounced phrase input region and an input of the incorrectly pronounced phrase input region.

Abstract: Systems and methods for conversational user experiences and conversational database analysis disclosed herein improve the efficiency and accessibility of low-latency database analytics.

Abstract: In some embodiments, a computer system may buffer, in a local storage buffer, data to be stored at the cloud and upload the data to the cloud storage from the local storage buffer. Upon receipt of an acknowledgement, from the cloud storage, that the data was successfully uploaded, the computer system may delete the data from the local storage buffer. The computer system may provide a ghost file representation of the uploaded data through the computer system, through which the data uploaded to the cloud storage may be accessed. In some embodiments, the computer system may access multiple cloud storage accounts, each corresponding to a file folder on the computer system, allowing the user to easily access different cloud storage accounts. The computer system may recover data that was deleted from either local persistent storage or the cloud storage.

Abstract: A system may include a nested probabilistic data structure that contains nested tables, each table having electronic records associated with different hash functions. A data analytics engine may receive information about a detected action, including action characteristics. In response to the detected action, insertions are executed into the nested probabilistic data structure at multiple levels based on the action characteristics (each insertion incrementing an entry in the data structure selected using the hash functions). The engine then continues to monitor for detected actions. Upon receipt of a query associated with the monitored action (including a query type), a key and level of nesting associated with the query is determined based on the query type. The hash functions are executed on the determined key to retrieve a value from each electronic record in an appropriate nested table, and a minimum of the retrieved values is output in response to the query.

Abstract: Systems and methods are disclosed herein for creating query results displays. Parameters for building queries are received from an administrative user (e.g., a designer or operator) or from another source (e.g., another program or a different device). The received queries may be stored in memory for later insertion into a query results display. The system enables one or more queries to be selected to be assigned to a query results display. The selection may also be performed by another application on the same device or be received from another device. When the selection has been received the application may store the assignments to the query results display together with the queries so that, those assignments and the queries can be transmitted to a client device.

Abstract: A method incorporates data visualization into conversational interfaces. The method receives a user input specifying a natural language command via a conversational interface. The method analyzes the natural language command to determine the type of question. The method also obtains a user preference for viewing responses based on text and/or visualizations. When the user preference includes visualizations and the type of question is answerable using data visualizations, the method: (i) extracts one or more independent analytic phrases from the natural language command; (ii) queries a database using a set of queries based on the extracted analytic phrases, thereby retrieving a data set; and (iii) generates and displays, in the conversational interface, a response incorporating one or more data visualizations, based on the type of question, using the data set.

Abstract: There are provided systems and methods for edge computing storage nodes based on location and activities for user data separate from cloud computing environments. A service provider, such as an online transaction processor, may provide additional services for to users via edge computing systems and edge computing storage nodes. The service may be for data that may be predictively loaded to the edge computing storage node for a particular location, where the edge computing storage node may reside more locally to the location on a network so that data may be served quicker and with less network resource consumption than providing data from a remote cloud computing storage. The data may be predicted to be needed or useful to the user at the location using a user profile for the user, monitored user activities, and/or one or more machine learning models that predict user behaviors at the location.

Abstract: A search system (10) includes a search term acquisition unit (111) configured to acquire a search term; a full-text search unit (112) configured to perform a searching operation based on the search term; and a visualization unit (114) configured to display a corresponding relationship between the search term and a result obtained by performing the searching operation.

Abstract: The embodiments of the specification disclose an online data acquisition method and system, The method includes that: an acquisition terminal generates a first data acquisition module online according to a preset rule, and sends the first data acquisition module to multiple first target terminals; after receiving the first data acquisition module online, the multiple first target terminals feed back multiple pieces of first data online in first preset time, and return the multiple pieces of fed back first data to the acquisition terminal online; and the acquisition terminal performs online analysis based on the multiple pieces of received first data. According to the method provided in the application, it is ensured that survey is performed in real time, and a survey result may be analyzed without any delay.

Abstract: An online system accesses a list of features used as input into a predictor to predict a performance metric for content presented to users. The online system computes importance scores for one or more of the features. A ranked list of categories is created, with each category having one or more sub-categories. For each feature having a computed importance score, the online system assigns, for each attribute in the ranked list of attributes for that feature, the feature to a sub-category in one of the categories in the ranked list of categories that has the same rank as the attribute in the ranked list of attributes for the feature, where the sub-category is associated with a label that corresponds with the attribute. For each sub-category in each category, a cumulative score is computed for the sub-category based on the importance scores of the features of that sub-category.

Abstract: In variants, a method for automatically determining responses in a messaging platform can include: receiving a set of inputs; determining a set of response options based on the set of inputs; and providing the set of response options to a user. The method can optionally further include training and/or updating a set of models, and/or updating a corpus of historical responses.

Abstract: A system comprises an input interface to receive input indicating a question, a communication module to establish a communication link with an access network, wherein the communication link provides connectivity to one or more packet data networks (PDNs) via the access network, and a computer coupled to the input interface and the communication module, the computer including a processor and a memory, the memory storing instructions executable by the processor to execute an information retrieval procedure including accessing an open-domain context search space of the one or more PDNs and retrieving, from among a plurality of contexts of the open-domain context search space, a plurality of candidate contexts for answering the question using a question-answering model for open-domain question answering, identify a set of non-answering contexts among the plurality of candidate contexts, wherein each of the set of non-answering contexts is a respective context for which the question-answering model predicts the qu

Abstract: A method and apparatus of a device that grows and/or shrinks a table that is shared between a writer and a plurality of readers is described. In an exemplary embodiment, a device receives an entry to be added to the shared table. In response to receiving the entry, the device remaps shared table to add a new storage segment to the shared table. The device further adds the entry to the shared table, where the entry is stored in the new storage segment. In addition, the device updates a shared table characteristic to indicate that the shared table has changed. The device further shrinks the shared table by remapping the table to remove a segment of the table.