Abstract: An incentive management system may receive a request for registration of a software application from a software developer and assign at least an API key and an API secret to the software application. The system may further provide, to the software developer, integration instructions including at least the API key and the API secret and provide a developer platform to the software developer, the developer platform configured to receive program information including at one or more actions that may be performed by a user of the software application. The system may monitor messages from one or more application servers, such as via webhooks embedded in the software application, regarding performance of one or more actions identified as actionable by the software developer. The system may periodically determine a cumulative incentive associated with each of the users of the software application and coordinate provision of the incentives.

Abstract: A method performed by a computing device includes generating a comparative query entigen group set based on a comparative query in accordance with identigen rules, where the comparative query entigen group set represents a most likely interpretation of the comparative query. The method further includes obtaining a first response entigen group from a knowledge database based on a first comparative query entigen group of the comparative query entigen group set, where the first response entigen group substantially includes the first comparative query entigen group. The method further includes obtaining a second response entigen group from the knowledge database based on a second comparative query entigen group of the comparative query entigen group set, where the second response entigen group substantially includes the second comparative query entigen group. The method further includes generating a comparative response based on the first response entigen group and the second response entigen group.

Abstract: A system and method for displaying data using temporal granularities. The method includes determining at least one first dataset of a plurality of datasets based on at least one temporal data requirement, wherein the plurality of datasets is generated based on a data model, wherein each of the plurality of datasets is generated based further on a distinct temporal granularity of a plurality of temporal granularities, wherein the distinct temporal granularity of each of the at least one first dataset meets at least one of the at least one temporal data requirement; and querying the determined at least one first dataset in order to obtain at least one query result.

Abstract: Techniques are described for maintaining contextual data to support content-related actions. In an example, a system stories second content at a source. The source is associated with first content. The system sends, to a device, an object that indicates the first content. From the device at a first time, the system receives first data indicating a first request for the second content and including source information that indicates the source. From the device at a second time, the system receives second data indicating a second request for the second content, the second data including the source information, the first data and the second data received at a frequency indicated by the object. The system determines that the requests are associated with the first content based on the source information included in the received data, and stores third data indicating a presentation of the first content by the device.

Abstract: A cyberthreat detection system queries a content database for unstructured content that contains a set of keywords, clusters the unstructured content into clusters based on topics, and determines a cybersecurity cluster utilizing a list of vetted cybersecurity phrases. The set of keywords represents a target of interest such as a newly discovered cyberthreat, an entity, a brand, or a combination thereof. The cybersecurity cluster thus determined is composed of unstructured content that has the set of keywords as well as some percentage of the vetted cybersecurity phrases. If the size of the cybersecurity cluster, as compared to the amount of unstructured content queried from the content database, meets or exceeds a predetermined threshold, the query is saved as a new classifier rule that can then be used by a cybersecurity classifier to automatically, dynamically and timely identify the target of interest in unclassified unstructured content.

Abstract: Systems, computer-implemented methods or computer program products to facilitate receiving results of a semantic structured query language (SQL) query and employing sparse hash-table based sketches to interpret a semantic structured query language (SQL) query result. A computing component stores a first space-efficient structure sketch in a compressed serialize form. The computing component can load a second space-efficient data structure sketch along with the first space-efficient data structure sketch and can compute one or more interpretability scores by extracting co-occurrence information from the first space-efficient data structure sketch. The second space-efficient data structure sketch can include a sketch for containment check.

Abstract: Systems and methods are disclosed for authenticating a chunk of data identified in a query received by a data intake and query system. The data intake and query system receives a query that identifies a set of data and manner for processing the set of data, and identifies a chunk of data that is part of the set of data. The system generates a content identifier, such as a hash, of the chunk of data. The system further authenticates the chunk of data based on the generated content identifier and a content identifier stored by a distributed ledger system.

Abstract: Systems and methods are provided for organizing communications of multiple communication services. Specifically, techniques are described for organizing data according to detected identities represented aggregate accounts across multiple communication services, as opposed to merely on the basis of accounts on such services. An identity-aware data management system is disclosed that can generate, on the basis of communications of a first party among multiple communication services, a reduced connection graph of the first party. The reduced connection graph of the first party can reflect second parties with whom the first party has communicated, each second party representing an aggregation of multiple accounts of a second party across communication services. The identity-aware data management system may then enable the first party to search, filter, or organize communications according to the reduced connection graph.

Abstract: Disclosed is a technique that can be performed by a server computer system. The technique can include obtaining data from each of multiple endpoint devices to form global data. The global data can be generated by the endpoint devices in accordance with local instructions in each of the endpoint devices. The technique further includes generating global instructions based on the global data and sending the global instructions to a particular endpoint device. The global instructions configure the particular endpoint device to perform a data analytic operation that analyzes events. The events can include raw data generated by a sensor of the particular endpoint device.

Abstract: Provided is a re-ranking device that enables a re-ranking process with less possibility of decrease in accuracy due to shortage of data. A re-ranking device 100 includes an input unit 101 that receives a search query from one user, a re-ranking model storage unit 106 that stores a plurality of re-ranking models prepared in accordance with common information of a plurality of users, a search unit 102 that performs a search on the basis of the search query and obtains a search result, and a re-ranking processing unit 107 that selects one re-ranking model on the basis of common information of the one user and performs a re-ranking process on the search result using the one re-ranking model.

Abstract: The invention relates to computer-implemented systems and methods for analyzing and standardizing various types of input data such as structured data, semi-structured data, unstructured data, and images and voice. Embodiments of the systems and the methods further provide for generating responses to specific questions relating to certain rates and terms, such as LIBOR, as well as complex legal constructs, such as interest rate fallback waterfalls, for risk assessment and mitigation. The present invention performs environmental, social, governance analytics on asset-backed securities including commercial mortgage-backed securities.

Abstract: A system and method for machine learning. The system includes a GPU with a GPU memory, and a key value storage device connected to the GPU memory. The method includes, writing, by the GPU, a key value request to a key value request queue in a input-output region of the GPU memory, the key value request including a key. The method further includes reading, by the key value storage device, the key value request from the key value request queue, and writing, by the key value storage device, in response to the key value request, a value to the input-output region of the GPU memory, the value corresponding to the key of the key value request.

Abstract: A computer-implemented method can comprise establishing programmatic connections to a digitally stored first database comprising over one million records, each of the records comprising columns; reading a configuration file that specifies tables in the database; for each particular table, forming and submitting a plurality of queries to the database, each of the queries specifying data aggregation operations, and in response thereto, receiving result sets of records of the database; calculating metadata metrics that characterize columns of the records in the result sets and storing the metadata metrics in tables for string column statistics, numeric column statistics, date column statistics, based upon a particular data type among different data types of the columns; generating presentation instructions which when rendered cause displaying one or more graphical visualizations in a graphical user interface.

Abstract: Systems and methods are provided for managing structured data queries.

Abstract: Systems and methods for efficiently identifying and extracting machine-actionable structured data from web documents are provided. The technology employs neural network architectures which process the raw HTML content of a set of seed websites to create transferable models regarding information of interest. These models can then be applied to the raw HTML of other websites to identify similar information of interest. Data can thus be extracted across multiple websites in a functional, structured form that allows it to be used further by a processing system.

Abstract: Training and/or utilizing an interaction prediction model to generate a predicted interaction value that indicates a likelihood of interaction with a corresponding application on the basis of an electronic communication. The application can be in addition to any electronic communication application that is utilized in formulating the electronic communication and/or that is utilized in rendering the electronic communication. The predicted interaction value can be generated based on processing, utilizing the interaction prediction model, of features of the electronic communication and/or of other features. The predicted interaction value can be utilized to determine whether to perform further action(s) that interact with, and/or enable efficient interaction with, the application on the basis of the electronic communication.

Abstract: Systems and methods for generating a content item based on a difference between a user confidence score and a confidence score are disclosed. For example, a system generates for output a first content item. While the first content item is being outputted, the system receives user data via sensors of a device. The system determines a user confidence score based on the user data and metadata of the first content item. The user confidence score indicates a user's perceived probability of an event occurring in the future. The system calculates a prediction score which estimates the likelihood of the event occurring in the future. In response to determining that the difference between the user confidence score and the prediction score exceeds a threshold, the system selects a second content item related to the event and generates for output a recommendation comprising an identifier of the second content item.

Abstract: A data platform for running a subset of cells in a notebook is provided. The data platform receives a run cells message from a notebook user interface (UI) application specifying the subset of cells to run. For each cell in the subset, the data platform runs the cell to generate a set of results, generates a cell execution stream using the results, stores the stream, and transmits the stream to the notebook UI application. The notebook UI application generates a display for the user using the cell execution stream. The data platform provides an efficient way to run specific cells in a notebook and display the results to the user.

Abstract: Systems and methods for creating digital interactive metadata elements in a social media composition may include (1) providing, to a user of a social media application, a composition interface for creating digital social media compositions, (2) collecting, via the composition interface, user-generated content and metadata information, (3) creating, based on the user-generated content and the metadata information, a social media composition that includes the user-generated content and an interactive metadata item, and (4) posting the social media composition to a consumption channel (e.g., a newsfeed channel and/or a stories channel) of a social-networking platform associated with the social media application. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method, computer system, and computer program manage revisions in a document. The document is displayed in a graphical user interface. The document comprises a structured data object composed from a set of tiles, wherein each tile corresponds to one or more data nodes. The tiles are composable according to a domain-specific language of an integrated development environment. One or more revisions to the structured data object are received in sequence. The revisions to each data node of the set of tiles composing the structured data object are independently managed, enabling each revision to be independently reverted to a prior state irrespective of the sequence and revisions to other data nodes of the set of tiles and without reverting the other data nodes of the structured data object to their prior state.

Abstract: A non-transitory computer readable-medium comprising instructions that when executed causes at least one processor to determine a portion of a map for user identification, send a request to a user, and receive from a user a response to the request. The portion of the map may correspond to a location. The request may be to identify features existing at the location. The communication may direct the user to the location. The response to the request may include identification of a labeled feature with a location coded picture of the labeled feature.

Abstract: A computer system receives a set of messages, and processes the messages using a filter. In some examples, the filter is defined using a pattern matching language such as a regular expression. The system collects a set of representative messages that match the filter. Using the set of representative messages, the system generates a corresponding flow network graph. Using the flow network graph, the system determines a similarity measure that indicates whether a new message resembles other matching messages of the filter. Based on the similarity measure, in various embodiments, the system identifies potential errors in the filter definitions, omissions in the terms of the filter, and message outliers that indicate system anomalies or events of particular interest to the user.

Abstract: Aspects described herein may provide systems, methods, and device for facilitating language learning using videos. Subtitles may be displayed in a first, target language or a second, native language during display of the video. On a pause event, both the target language subtitle and the native language subtitle may be displayed simultaneously to facilitate understanding. While paused, a user may select an option to be provided with additional contextual information indicating usage and context associated with one or more words of the target language subtitle. The user may navigate through previous and next subtitles with additional contextual information while the video is paused. Other aspects may allow users to create auto-continuous video loops of definable duration, and may allow users to generate video segments by searching an entire database of subtitle text, and may allow users create, save, share, and search video loops.

Abstract: A method for managing a log structured merged (LSM) tree of key value (KV) pairs, the LSM tree is stored in a non-volatile memory, the method may include merging runs of the LSM tree to provide merged runs; writing merged runs to the non-volatile memory; adding new runs to the LSM tree, wherein the adding comprises writing runs to the non-volatile memory; and updating at least one management data structure (MDS) to reflect the merging and the adding; wherein an MDS of the at least one MDS stores a mapping between keys of the KV pairs of the LSM tree, fingerprints associated with the KV pairs of the LSM tree, and compressed run identifiers that identify runs of the LSM tree.

Abstract: Northbound intent-based application insertion may be employed within a mobile communications network established with a software defined network (SDN) including both an applications plane and also a control plane in which different infrastructure resources are accessible through a northbound API. A request from a mobile application first is received in the control plane for the application to be inserted into the application layer utilizing different infrastructure resources of the control plane. The mobile application is then characterized and a set of recommended resources for the characterization retrieved. Finally, those of the resources to be utilized by the mobile application are compared to the set of recommended resources in order to identify a variance of resources and the resources to be utilized by the mobile application, as adjusted by the variance of resources, are then provisioned for use by the mobile application.

Abstract: A system and method for facilitation transactions between an Internet of Things (IoT) system and a blockchain peer without the use of a smart phone are disclosed. The system may have security, a channel manager, a message formatter, parameter enumerator and formatter, a final formatter, a notifier, a monitor and an integrator. The system may accept blockchain queries from the IoT device and may reformat the blockchain queries and alter parameters into a format and parameter framework which is operable by a blockchain peer. The system may also accept responses from the blockchain peer and may reformat the response and alter parameters into a format and parameter framework which is operable by the IoT device. The system may send the reformatted response to the IoT device for display.

Abstract: A method is provided. The method includes one or more of obtaining client device data including a plurality of facts from a client device, limiting the client device data according to selection criteria, comparing, using a neural network, the limited client device data to categorized historical data, determining, using the neural network, one or more closest matches between the limited client device data and the categorized historical data, and selecting, on the client device, content of interest from the one or more closest matches. Each fact includes an entity, an observation, and an object. Limiting the client device data includes reviewing the entity, observation, and object for each fact and one or more of eliminating facts having an entity, observation, or object that does not meet the selection criteria and removing data from entities, observations, or objects that uniquely identifies a user associated with the client device.

Abstract: New intrusion detection system (IDS) rules to be deployed on an IDS that generates alerts based on an applied ruleset are accessed. A trial window that includes incorporating the new IDS rules into a candidate list to enable summarization and filtering of the alerts is started and the applied ruleset that includes existing IDS rules is supplemented with the candidate list that includes the new IDS rules. The applied ruleset is transmitted to a network sensor associated with the IDS upon the supplementation and alerts generated based on network events implicated by both the existing IDS rules and the new IDS rules in the applied ruleset are received from the IDS. Upon completion of the trial window, a set of alerts generated only by the new IDS rules in the applied ruleset are designated as suppressed alerts and a set of new IDS rules is eliminated from the applied ruleset upon determining that the set of new IDS rules generate a subset of alerts that exceed an alert threshold.

Abstract: An apparatus and method for generating an instruction set for a user is provided. The apparatus includes at least a processor and a memory connected to the processor. The memory contains instructions configuring the at least a processor to receive a client datum from a client, where the client datum describes resources of the client, and to receive a user datum from the user, where user datum includes a target datum that describes resource transfer data from the client to the user. Initiation of resource transfer described by the target datum is triggered by the pattern exceeding a threshold. In addition, the memory contains instructions configuring the at least a processor to generate an interface query data structure including an input field and to display the first transfer datum and the second transfer datum hierarchically based on a user-input datum input to the input field.

Abstract: A computer-implemented method, a computer program product, and a computer system for determining and displaying connected insights based on a connection between data visualizations. A computer detects the second data visualization created on a coherent exploration path with the first data visualization. The computer determines, from first insights in first date frame for the first data visualization, top first insights that are interesting to the second data visualization. The computer determines, for respective ones of the top first insights, calculated fields representing states of data. The computer adds the calculated fields to a query to obtain a second data frame for the second data visualization. The computer determines second insights in the second data frame, where the second insights include data facts drawn from the connection between the first data visualization and the second data visualization. The computer displays the second insights along with the second data visualization.

Abstract: A system for interfacing with a meta-database representing data from a plurality of source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from a source interface, compresses the data, and synchronizes the data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: To promote data utilization by providing processed data while leaving a trail that is hardly falsified. A data management server 2000B receives an analysis request, executes an analysis program 2500B, and transfers the analysis request to a data processing server 3000, allowing second data resulting from processing first data to be saved in storage (8160). The data management server 2000B further receives the notification of having processed the first data from the data processing server (8190), generates a transaction indicating the first data having been processed according to the analysis request (8050), and adds the verified transaction as a record in a processing/usage trail management table 11000 as one of distributed shared ledgers (8070).

Abstract: Novel tools and techniques are provided for implementing an imaging discovery utility for augmenting clinical image management. In some embodiments, in response to receiving a request for a first medical image file(s) from a requesting device, a non-relational (“NoSQL”) data management system (“DMS”) may access a NoSQL database containing, inter alia, a plurality of medical image files that are mirrored copies of a plurality of medical image files stored in a relational (“SQL”) database, the medical image files each being organized in an image-centric hierarchy with image data being at a top level and patient information associated with the image data being at a lower level. Based on a successful search of the NoSQL database based on search terms in the request, the NoSQL DMS may identify a corresponding second medical image(s) in the SQL database, and may retrieve and send (to the requesting device) the identified second medical image(s).

Abstract: Certain embodiments involve a method for generating a search result. The method includes processing devices performing operations including receiving a query having a text input by a joint embedding model trained to generate an image result. Training the joint embedding model includes accessing a set of images and textual information. Training further includes encoding the images into image feature vectors based on spatial features. Further, training includes encoding the textual information into textual feature vectors based on semantic information. Training further includes generating a set of image-text pairs based on matches between image feature vectors and textual feature vectors. Further, training includes generating a visual grounding dataset based on spatial information. Training further includes generating a set of visual-semantic joint embeddings by grounding the image-text pairs with the visual grounding dataset.

Abstract: An example method of updating a client dashboarding component of an asset monitoring and reporting system comprises: identifying an update of a client dashboarding component of an asset monitoring and reporting system (AMRS), the client dashboarding component comprising one or more dynamic elements, each dynamic element associated with an asset node; receiving one or more search queries, each search query corresponding to a dynamic element of the one or more dynamic elements; modifying one or more dynamic elements of the client dashboarding component in accordance with the one or more search queries; and updating the client dashboarding component to reflect metric values associated with the modified dynamic elements.

Abstract: Methods are disclosed for reducing the size of a k-mer reference database used for queries and/or taxonomic classifications when available computer storage and/or memory are inadequate. The k-mers of the reference database have been previously classified to a taxonomy, preferably based on genetic distances. In one method, the k-mers are separated into one or more groups followed by removing k-mers common to the groups. In another method, k-mers are removed based on a selected taxonomic threshold level. A third method combines the features of the previous two methods. The methods are adaptable to machine learning.

Abstract: The present disclosure provides a data updating method and apparatus, electronic device, and computer readable storage medium. The method includes: acquiring a search sentence; determining a target query sentence corresponding to the search sentence according to a sentence type corresponding to the search sentence; determining a target search content according to the search sentence, and sending the target search content to a service side, in the case that a query result corresponding to the target query sentence is not found in a knowledge base; acquiring a target query result edited by the service side according to the target search content; and updating the knowledge base according to the target query result.

Abstract: A specific solution includes: obtaining, by a terminal, current scenario information; matching the current scenario information against one or more prompt rules; and when determining that the current scenario information matches a first prompt rule, displaying a first prompt message corresponding to the first prompt rule, to prompt that there is a recommended application in a scenario corresponding to the current scenario information; displaying, in response to a first operation performed by a user on the first prompt message, a first recommendation interface that includes a recommendation item of an application prompted by the first prompt message; and displaying an interface of a first application in response to a selection operation performed by the user on a first recommendation item in the first recommendation interface.

Abstract: Methods and systems for graph-based discovery of geometry of clinical data are provided. An example method includes receiving vectors of outcomes of trial subjects, generating, based on the vectors of outcomes, a plurality of metric graphs, each of the metric graphs including a set of nodes corresponding to the vectors of outcomes and a set of edges, performing an automatic search to identify communities of nodes in the optimal graph, displaying a graphical representation of the optimal graph and highlighting nodes in the graphical representation, the nodes corresponding to the community of nodes. Generating the set of edges includes selecting metrics and projection rules to obtain projections of the vectors of outcomes, and selectively connecting nodes based on determination that projections of corresponding vectors of outcomes belong to the same domain of a set of overlapping domains and a certain cluster within the domain.

Abstract: Implementations are directed to receiving a search query from a user, obtaining environmental signal(s) associated with an environment in which the user is located when the search query is received, processing the environmental signal(s) to generate a privacy measure associated with submission of the search query, obtaining additional environmental signal(s) associated with the environment in which the user is located when user input directed to a search interface is received, processing the additional environmental signal(s) to generate an additional privacy measure associated with the user input, selecting, from a superset of historical search queries of the user, a subset of the historical search queries based on at least the privacy measure and the additional privacy measure, and causing the subset of the historical search queries to be presented to the user in response to receiving the user input directed to the search interface.

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: The disclosed system and method acquire and store performance measurements relating to performance of a component in an information technology (IT) environment and log data produced by the IT environment, in association with corresponding time stamps. The disclosed system and method correlate at least one of the performance measurements with at least one of the portions of log data.

Abstract: A method, system, and medium for automated analysis of business intelligence each: receive natural language input from a user; evaluate, via a natural language understanding processor that includes a parser and an interpreter, the natural language input to determine an intent of the user; determine the intent of the user and generate a query based on a context manager; send an identification of the failure to a failure analysis system for human intervened analysis and refinement of a natural language model used by the natural language understand processor; assess, via a context manager processor, to determine a user interest in one or more portions of results of the query, a scrolling of the user through the results of the query; and refine, based on the user interest in the one or more portions of the results of the query, an output of the results of the query.

Abstract: An electronic device stores a plurality of vector representations for respective media content items in a vector space, where each vector represents a media content item. The electronic device receives a first set of input parameters representing a previous session of a user of the media-providing service where the previous session included two or more of the respective media content items. The electronic device then receives a second set of input parameters representing a current context of the user and provides the first set of input parameters and the second set of input parameters to a neural network to generate a prediction vector for a current session. The prediction vector is embedded in the vector space.

Abstract: Embodiments of the disclosure provide methods and apparatuses for video searches and methods and apparatuses for index construction. In one embodiment, the method comprises: upon receiving a search request input by a user to search for a target video, processing, based on a pre-configured algorithm, multimodal search data for the target video included in the search request; providing a processing result of the multimodal search data with regard to a corresponding pre-constructed index to search to obtain the target video.

Abstract: A dataset captioning system is described that generates captions of text to describe insights identified from a dataset, automatically and without user intervention. To do so, given an input of a dataset the dataset captioning system determines which data insights are likely to support potential visualizations of the dataset, generates text based on these insights, orders the text, processes the ordered text for readability, and then outputs the text as a caption. These techniques also include adjustments made to the complexity of the text, globalization of the text, inclusion of links to outside sources of information, translation of the text, and so on as part of generating the caption.

Abstract: A system for generating and distributing a digital mixtape. In one example, the system can receive a user command to generate a digital mixtape including a user-defined compilation of music. The user command identifies a recipient of the digital mixtape and identifies one or more media content items to be included in the music compilation for the recipient. The digital mixtape can also include audio recordings from the user to be added to the digital mixtape.

Abstract: Provided are methods and systems for traversing a data model with a plurality of workers to generate a plurality of virtual records for use in evaluating an expression by a plurality of aggregators. Each aggregator may receive a respective virtual record and evaluate a hypercube function and determine a respective hash based on the respective virtual record. The virtual records based on the respective hash values of the respective virtual records may be stored by the plurality of aggregators.

Abstract: An image-to-image search method which is implemented in a server is provided. The server receives an image to be searched and at least one category of similarity search sent by a terminal. The server extracts a feature code of the image by using a trained hash model that uniquely corresponds to the at least one category of similarity search according to the received image and the at least one category of similarity search. The server obtains target images that are similar to the image according to the feature code of the image in a feature code library that uniquely corresponds to the at least one category of similarity search. The server sends the target images to the terminal.

Abstract: A method of blank detection involves receiving a document from a user, where the document includes derived text; applying a trained blank detection model to the document to make a first prediction, where the first prediction indicates whether at least one field in the document is blank; comparing the first prediction with a second prediction, where the second prediction is made by an extraction model; and extracting the at least one field using the extraction model.