Abstract: Methods, systems, and media for identifying videos containing objectionable content are provided.

Abstract: Systems, methods and/or computer program products for controlling and visualizing topic modeling results using a topic modeling interface. The interface allows user directed exploration, understanding and control of topic modeling algorithms, while offering both semantic summaries and/or structure attribute explanations about results. Explanations and differentiations between results are presented using metrics such as cohesiveness and visual displays depicting hierarchical organization. Through user-manipulation of features of the interface, iterative changes are implemented through user-feedback, adjusting parameters, broadening or narrowing topic results, and/or reorganizing topics by splitting or merging topics. As users trigger visual changes to results being displayed, users can compare and contrast output from the topic modeling algorithm.

Abstract: A method for execution by a computing device to adjust efficiency of storing data in a storage network includes processing a data segment based on a storage approach to produce a processed data segment, the storage approach being based on an estimated overwrite frequency for the data segment. The method continues by error encoding the processed data segment to produce a set of encoded data slices, where a decode threshold number of encoded data slices is needed to recover the processed data segment. The method continues by storing the set of encoded data slices in the memory of the storage network.

Abstract: An online concierge system generates an item graph connecting item nodes with attribute nodes of the items. When the online concierge system receives a search query to identify one or more items from a customer, the online concierge system parses the search query into combinations of terms and identifies item nodes and attribute nodes related to the search query. The online concierge system may determine that no item nodes meet presentation criteria. The online concierge system may determine that a reformulated search query has a higher conversion probability than the search query received from the customer. The online concierge system reformulates the search query. The online concierge system selects item nodes as search results. The online concierge system transmits the search results to the customer.

Abstract: A queue management device includes: a queue detection unit that, on the basis of a detection result of forming elements at a site subject to queue management, detects the state of the queue; a guidance position determination unit that, on the basis of the state of the queue detected by the queue detection unit, determines a guidance position where a guidance should be displayed; and a guidance display control unit that controls a display device such that the guidance is displayed at the guidance position determined by the guidance position determination unit.

Abstract: The described technology is generally directed towards coordinating the generation, validation and enabling of content selection graphs in an in-memory content selection graph data store. When a set of content selection graphs is requested, a coordinator starts the generation of the relevant graphs. Upon successful generation, the coordinator starts a validation of the generated graphs against rules for the nodes/response data in the graphs. If the generated graphs pass validation, the coordinator enables the graph set for use in an in-memory cache, whereby when a request to return content selection data is received, an active graph that corresponds to the request and the current time is accessed to obtain and return the response data as the requested content selection data.

Abstract: A registration device (500) accepts plaintext, attribute information of a user having an authority of referring to the plaintext, and a registration key for use in generating a user key for generating a search query. The registration device generates aggregate information indicating one or more aggregate values, by aggregating a plurality of attribute values included in the attribute information. The registration device generates generalized information indicating a plurality of generalized values for each aggregate value by generalizing each aggregate value included in the aggregate information. The registration device generates ciphertext data including the plaintext encrypted, by using the plaintext, the attribute information, the generalized information, and the registration key. The registration device registers the ciphertext data in a database.

Abstract: The subject technology receives a command to commit a table in a different table format on an external volume. The subject technology generates a first snapshot of the table on internal storage. The subject technology generates a first list of metadata files on the internal storage. The subject technology generates, based on the first list of metadata files, a first set of metadata files on the internal storage. The subject technology generates a second snapshot of the table on the external volume. The subject technology generates a second list of metadata files on the external volume. The subject technology generates, based on the second list of metadata files, a second set of metadata files on the external volume. The subject technology generates a first set of data files in a different file format on the external volume.

Abstract: A method for content management in a cellular network is provided. The method includes receiving, by an application server, a content request including a file identity from a User Equipment (UE), performing, upon receiving the content request, by the application server, at least one action associated with content caching, content retrieval, and content deletion, assigning, by the application server, one or more assisting parameters in a header of an Internet Protocol (IP) packet, based on the at least one performed action, and assisting, by the application server, at least one of a User Plane Function (UPF) device, and a Packet Data Convergence Protocol (PDCP) device of the cellular network to manage content, based on the one or more assigned assisting parameters.

Abstract: A device for identifying a shift in a point of interest (POI). The device may receive location information of the POI, determine a geographical coordinate of the POI based on the location information and using map data, determine a routable attribute of the POI based on the geographical coordinate and using updated map data, identify a shift in the POI between the map data and the updated map data based on an inconsistency between the routable attribute and the map data, determine an aggregate score based on the routable attribute and the inconsistency between the routable attribute and the map data when the shift in the POI is identified, and cause an action to be performed based on the aggregate score.

Abstract: A method and an apparatus for generating a video are provided. The method may include performing, by a server, semantic analysis on an original video according to a timing characteristic of the original video, and segmenting the original video to obtain video segments with semantic information; obtaining, by the server, a video generation sequence model with a timing characteristic based on at least one previously configured video generation sequence model with a timing characteristic according to preference video information obtained from a client; and reorganizing, by the server, the video segments with the semantic information according to the video generation sequence model with the timing characteristic to obtain a target video of the client.

Abstract: A method, performed by one or more processors, including: receiving one or more event records; generating, using the one or more event records, an event descriptor object descriptive of one or more events occurring in a networked system, wherein the event descriptor object comprises a plurality of event properties; receiving one or more entity records; generating, using the one or more entity records, an entity descriptor object descriptive of one or more entities relevant to the security of the networked system, wherein the entity descriptor object comprises a plurality of entity properties; incorporating, into an object graph, the event descriptor object and the entity descriptor object; and associating, in the object graph, the event descriptor object with the entity descriptor object using at least one of the plurality of event properties and at least one of the plurality of entity properties.

Abstract: A computer-implemented method for generation of dashboard templates for operations management is disclosed. The computer-implemented method includes monitoring a user interactions with an editable dashboard user interface when handling issue instances to gather chart selections, wherein a chart is a graphical visualization of one or more parameters of a data source. The computer-implemented method further includes identifying an issue type to chart pairs from the gathered chart selections and, for each pair, generalizing the one or more data source parameters. The computer-implemented method further includes identifying from the gathered chart selections common associations between the issue type and a chart visualization type.

Abstract: Techniques to create zone maps automatically and efficiently for database query processing are disclosed. The techniques comprise creating a sample dataset to represent an original dataset, building a query workload modeler to characterize a full workload of queries, constructing a clustering quality evaluator to evaluate query performance on a dataset with a certain clustering on the columns, finding a clustering solution by evaluating different applications of the workload to the sample dataset corresponding to different clusterings, and determining which columns of the clustering solution could benefit from zone maps.

Abstract: An online concierge system generates a graph connecting items with attributes of the items and other items. Hence, the graph includes nodes corresponding to attributes and nodes corresponding to items, with an item connected to attributes of the item in the graph. Example attributes include a brand, a category, a department, or any other suitable information about the item. When the online concierge system receives a search query to identify one or more items from a customer, the online concierge system parses the search query into combinations of terms and compares different combinations of terms to the graph to determine connections between different combinations of terms in the graph. Based on measures of connectedness between combinations of terms and connections in the graph, items are identified from one or more combinations of terms. Information about the identified items is presented to the customer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that creates a machine learning model with k-means clustering. In some implementations, an instruction to create a model is obtained. A data set including geographic data and non-geographic data is received. The data set includes multiple data entries. Geographic centroids are determined from the geographic data. The data set is analyzed to obtain statistics of the data set. Transformed data is generated from the data set, the statistics, and the geographic centroids. A model is generated with the transformed data, the model indicating multiple data groupings.

Abstract: A system and method compares an image of an object of interest captured by an image capturing device from a first positional view relative to the object of interest against each of a plurality of images of each of a plurality of reference objects wherein each of the plurality of images of each of the plurality of reference objects is reflective of a unique positional view of the corresponding one of the plurality of reference objects to determine a second positional view relative to the object of interest at which the image capturing device is to be positioned to capture a further image of the product of interest.

Abstract: An example operation may include one or more of identifying a newly proposed transaction of a blockchain, initiating a consensus operation to determine whether to authorize the newly proposed transaction, retrieving a key-value pair identified from a previous transaction, comparing an index value associated with the key-value pair of the previous transaction to an index value associated with a key-value pair of the newly proposed transaction, and providing an affirmative consensus to accept the newly proposed transaction in the blockchain when the index value associated with the key-value pair of the previous transaction is contiguously sequential with the index value associated with the key-value pair of the newly proposed transaction.

Abstract: A method for storing a file containing personal data comprises obtaining a temporary anonymous identifier (AnonID.m) of a person, which temporary anonymous identifier (AnonID.m) is dependent on a token (FileID.m) of the file; extracting personal data items from the file associated with the person; for each personal data item, generating a locator (Loc.m.n), which allows the personal data item to be reinstated into the file, and an item-specific anonymous identifier (AnonID.m.n) of the person, wherein the item-specific anonymous identifier is generated by applying a predefined one-way function to a combination of the temporary anonymous identifier (AnonID.m) and an identifier (n) of the personal data item; storing each personal data item together with the locator and the item-specific anonymous identifier in a first memory; and storing an anonymized version of the file without the personal data items in a second memory.

Abstract: One example may include a method that includes receiving, at a server, a data set from one or more mobile devices located in a presentation space, combining the received data set with additional data to create a combined data set, creating a presentation signal based on the combined data set, subtracting a portion of one or more of the data set and the additional data set from the combined data set to create a modified presentation signal, forwarding the modified presentation signal to one or more of a display and a loudspeaker located in the presentation space, and playing the modified presentation signal via one or more of the loudspeaker and the display device.

Abstract: Disclosed is a method for an intermediary mapping an de-identification comprising steps of retrieving datasets and meta data from a data source; selecting a target standard; mapping the retrieved datasets and the metadata to the target standard, wherein the datasets and the metadata are mapped to the target standard using one of, a schema mapping, a variable mapping, or a combination thereof; infer one or more of, variable classifications, variable connections, groupings, disclosure risk settings, and de-identification settings using the dataset mapping and metadata; perform a de-identification propagation using the mapped datasets, the mapped metadata, the inferred variable classifications, the inferred variable connections, the inferred groupings, the inferred disclosure risk settings, the inferred de-identification settings, or a combination thereof.

Abstract: Configuration input for creating a new data privacy profile may be received via a graphical user interface. The configuration input may include account information specifying a plurality of web-accessible accounts. Profile data may be retrieved from the accounts by authenticating with the accounts and populating retrieved user profile data into a newly generated data privacy profile stored at a host organization. A unique SOLID compliant tag may be issued to the user, associated with the data privacy profile, and recorded on a public blockchain. One or more private portions of the data privacy profile may remain inaccessible to requestors.

Abstract: A data search method based on a quantum simulated algorithm includes: creating a first search path according to a plurality of pieces of candidate data; obtaining a first processing function corresponding to the first search path, the first processing function comprising the plurality of coefficients, output values of the first processing function being determined by the first search path; traversing at least two value sets of the first search path; obtaining the output values of the first processing function based on a quantum simulated algorithm; respectively using, when the output values of the first processing function converge to a converging value, a plurality of values in a value set corresponding to the converging value as the values of the plurality of coefficients, to obtain a second search path; and searching for target data by using the second search path.

Abstract: Technologies described reduce the amount of time between requesting content and receiving the requested content. In some embodiments, a client provides a search query. A search result page is generated and, prior to returning the search result page to the client, some or all of the search results are asynchronously pre-fetched and cached. The search query can include custom parameters that are also included in the pre-fetch requests. Web addresses in the search results page can be modified to indicate whether a prefetch operation was initiated. Once a user activates one of the search results, the responding web server uses the cached data while generating a response.

Abstract: A computer implemented method for recognizing a hand gesture using a random forest model includes training the random forest model. The method also includes obtaining image data. The method further includes clustering a plurality of pixels from the image data to generate a plurality of clusters. Moreover, the method includes analyzing the plurality of clusters using a rejection cascade to generate a plurality of selected candidates. In addition, the method includes analyzing the plurality of selected candidates using a classification decision tree from the random forest model. The method also includes skeletonizing the plurality of selected candidates to generate a one dimension plus branches hand model. The method further includes analyzing the one dimension plus branches hand model using a regression decision tree from the random forest model.

Abstract: Interacting between users of mobile devices is provided by initiating a desired interaction at a first user device using a gesture sensed by the first user device, determining a gesture area, submitting a desired interaction request for interaction with associated users within the gesture area, and sending a notification to user devices indicating the desired interaction of the first user with one or more users of a local subset, wherein the notification identifies the first user with an identifier independent of identifiers used by the first user outside of interactions with a remote server.

Abstract: Systems and methods are disclosed for stateless stream handling and resharding. In one implementation, a first shard comprising one or more messages is generated. The first shard is associated with a first state attribute. The first shard and the first state attribute are provided as an update within a data stream. In another implementation, a first shard including a first state attribute is received within a first stream. A message that is inconsistent with the first state attribute is identified within the first shard. The message is associated as an attribute of the first shard. A second shard including a second state attribute is received. Based on the second state attribute, a position of the message within the second shard is determined. The message is inserted into the second shard based on the determining.

Abstract: Systems and methods for data usage monitoring in multi-tenancy enabled HADOOP clusters are disclosed. According to one embodiment, a method for monitoring data usage in multi-tenancy enabled HADOOP clusters may include: (1) receiving metadata related to a dataset in one or more multi-tenant clusters; (2) receiving entitlement data for a plurality of users to the dataset; (3) receiving group membership data for the plurality of users; (4) receiving access permissions for the plurality of users to the dataset; (5) receiving audit logs comprising access history for the plurality of users to the dataset; (6) joining the metadata, entitlement data, group membership data, access permissions, and audit logs into a searchable database; (7) receiving a query comprising at least one of a date range, a file, a directory, a user, and a group of users; (8) applying the query to the searchable database; and (9) returning results to the query.

Abstract: A method that includes defining a functionality of a system, wherein the system includes at least a first device in a first device category and a second device in a second device category, defining a configuration of the system, determining a plurality of tasks comprised in an application, wherein the application is to be executed by the system, simulating, using a simulation environment, execution of the application in the system when the tasks comprised in the application are assigned to be executed by the first device or the second device, based on the simulation, modifying the assignment of the tasks, distributing the application to the system, and receiving data regarding the execution of the application.

Abstract: A method performed by a computing system includes collecting information on transactions in a telecommunication system, using the information on transactions to create a plurality of event objects, each of the event objects associated with a telecommunication event, associating each of the event objects with a Key Performance Indicator (KPI), applying the event objects to a plurality of inference functions, each inference functions using the set of parameters as inputs and the KPIs of the event objects as outputs to create a model that infers a relationship between the set of parameters and the KPIs, and analyzing metadata from each of the inference functions to determine which of the set of parameters was used to predict an outcome leading to the KPI.

Abstract: Provided are a method and apparatus for providing a big data analysis service, and a computer readable storage medium. The method for providing a big data analysis service includes: generating, by network data analytics, big data information according to network operation and maintenance data, and sending the big data information to an application through a network exposure function.

Abstract: A server includes a controller in communication with the server and configured to receive a query related to an issue with a vehicle, retrieve information related to the query from a database that includes structured data including data related to vehicle issues and a solution to the vehicle issues, determine whether the database includes structured data including data related to the solution responsive to the query, and output information including the solution to the issue when the determination identifies that the structured data including the solution in the database or retrieve information from a website when the determination identifies that the structured data including the solution is not found in the database, wherein the controller is further configured to retrieve the information from the website by conducting a keyword search for a first set of results and filtering the information from the website utilizing an autoencoder.

Abstract: An inventory system comprised of a central computing device in communication with one or more remote computing devices is disclosed. The central computing device is configured to update inventory information for inventory items held within the inventory system based on information received from the remote computing devices. The remote computing devices are configured to transmit updated inventory information to the central computing devices when an inventory item is newly added to the inventory system and when an inventory item is taken out of the inventory system. The remote computing devices also correspond to one or more inventory units for storing the inventory items. The remote computing devices are configured to transmit order requests to the central computing device that request additional inventory items for their corresponding inventory units.

Abstract: Methods and apparatuses are described for unstructured computer text is analyzed for masking of confidential information using artificial intelligence. A client device generates a message comprising unstructured computer text including confidential information. A server trains a word embedding model using the unstructured text. The server generates a multidimensional vector for each word in the unstructured text, generates a mapping table comprising a predetermined set of words corresponding to confidential information from the unstructured text, and determines one or more neighboring words in the trained word embedding model using the predetermined set of words. The server updates the mapping table to incorporate the one or more neighboring words and executes rules on the unstructured text that filter out one or more words, and applies the updated mapping table to match words in the updated mapping table with words in the filtered text and mask the matching words in the unstructured text.

Abstract: Systems and methods are provided for accessing master data comprising a plurality of representative data records, where each representative data record represents a cluster of similar data records, and each similar data record has a confidence score indicating a confidence level that the similar data record corresponds to the cluster, and comparing a new data record to each representative data record of the plurality of representative data records using a machine learning model to generate a distance score. The systems and methods further provide for analyzing the cluster of similar data records corresponding to each representative data record in a selected set of representative data records to generate candidate values for the requested data field of the new data record, and generating a candidate score for each of the candidate values using the distance score and the confidence score to use in providing a recommended candidate value.

Abstract: This disclosure is directed to systems and methods for generating a communication associated with an optimization code. Generating a communication may include generating an optimization code, which may include (i) receiving a first data associated with one or more of a first computing device and a first computing device user; (ii) generating at least two confirmation codes, including one or more of a verification code, a consistency code, and an activity code; and (iii) generating an optimization code which may be based, at least in part, on the at least two confirmation codes.

Abstract: A server device may be configured to obtain image data that depicts a set of objects associated with a user. The server device may be configured to process, using at least one image analysis technique, the image data to determine identification information for each object of the set of objects. The server device may be configured to obtain exchange data related to at least one exchange log of the user and may be configured to determine, based on the exchange data and the identification information, estimated exchange information for each object of a subset of objects of the set of objects. The server device may be configured to determine, based on the estimated exchange information, estimated assessment information for each object of the subset of objects and may be configured to generate, based on the estimated assessment information, presentation information for display via a graphical user interface (GUI).

Abstract: A system and method for processing data by accessing data sets for a plurality of variables in at least one data store; associating a plurality of the data sets as at least one variable type; storing in a data store a plurality of operation definitions defining a plurality of operations on at least one of said at least one variable type; receiving from a user interface a selection of at least one operation definition and at least one data set of said at least one variable type operated on by the selected at least one operation definition; and processing the at least one data set in response to the selection according to the at least one operation definition to generate a derived data set.

Abstract: A data intake and query system establishes a network connection with an instrumented target system. The instrumented target system collects metrics in accordance with an instrumentation platform, whereby the instrumentation platform defines an instrumentation platform query. The metrics are stored in the data intake and query system. A data intake and query system query for a subset of metrics is transmitted. The data intake and query system query replicates the instrumentation platform query of the instrumentation platform. From the data store, log data for the instrumented target system, and correlated with the metrics to obtain correlated results.

Abstract: Automated detection of features and/or parameters within an ocean environment using image data. In an embodiment, captured image data is received from ocean-facing camera(s) that are positioned to capture a region of an ocean environment. Feature(s) are identified within the captured image data, and parameter(s) are measured based on the identified feature(s). Then, when a request for data is received from a user system, the requested data is generated based on the parameter(s) and sent to the user system.

Abstract: There is provided an information processing device including a control unit configured to determine, on the basis of an item to be improved which item is set on the basis of a health index calculated from collected sensor information, an improving means to improve the item to be improved and a reward that is related to an amusement and that is served in a case where the item to be improved is improved, and configured to present contents of the improving means and the reward to a user, in which the control unit determines whether or not the item to be improved is improved on the basis of a variation in the health index, and makes a controlled object perform an operation corresponding to the reward on the basis of the determination that the item to be improved is improved.

Abstract: Systems and methods are described for using a streaming data processor to group notable events reflecting operation of a computing system into episodes of related events reflecting an incident on the computing system, such as to enable root cause analysis of the incident. Each notable event can be generated based on one or more events detected within raw machine data. The streaming data processor can ingest a data stream of notable events, and apply a clustering algorithm to the events to cluster those events into episodes. When the episodes satisfy an action rule, the streaming data processor can take an action appropriate to that rule, such as transmitting an alert or programmatically altering operation of the computing system. The streaming data processor can utilize feedback as to the grouping of events into episodes to modify the clustering algorithm and improve accuracy of clustering.

Abstract: An interaction prediction system for accurately predicting the occurrence of interactions, entities associated with the interactions, and/or resources involved with the interactions. The interaction predictions can be used for a number of different purposes, such as improving security of systems, predicting future interactions or the likelihood thereof, or the like. The interaction prediction system described herein more accurately predict the interactions using modeling and monitoring that increases the processing speeds by reducing the data needed to make the predictions, reduces the memory requirements to make the predictions, and increases the capacity of the processing systems when compared to traditional systems.

Abstract: The present disclosure provides a method and an apparatus for querying the shortest path of a graph, and a storage medium. The method includes: performing a breadth-first search in a distributed graph database with a start entity to be searched and an end entity to be searched as root nodes respectively, and obtaining a layer of new entities for each search; performing an intersection checking on the new entities and entities of the highest layer from a search set on an opposite side, so as to determine whether an intersection between the new entities and the entities of the highest layer exists; and when the intersection exists, determining intersection points, and performing path backtracking through the intersection points to find the shortest path from the start entity to the end entity.

Abstract: A production cluster executes a workload, such that jobs associated with the executed workload are allocated, according to a first configuration. A cluster monitor extracts production cluster information from the production cluster, monitors configuration information during execution of the workload, and transmits each to a cluster tuner. The cluster tuner receives the information and determines a first recommended configuration for the production cluster. The cluster tuner causes the test cluster to execute a simulated workload according to the first recommended configuration. In response to determining that the first recommended configuration results in a decrease in resource consumption, the cluster tuner causes the production cluster to operate according to the first recommended configuration.

Abstract: The disclosed systems and methods may receive a data record from either a legacy data source or a modern data source and determine whether the record satisfies a first set of validation rules. When the record fails to satisfy the first set of rules, reject the record for storage in a data store. When the record satisfies the first set of rules, determine whether the record satisfies a second set of validation rules. When the record satisfies the second set of rules, store the record in the data store with an indicator that the record satisfies the all rules. When the record fails to satisfy the second set of rules, if the source was a modern data source reject the record, and if the source was a legacy data source store the record in the data store with an indicator that it fails to satisfy the second set of rules.

Abstract: This disclosure is directed to systems and methods for selecting or eliminating candidate targeted communications. A method may include receiving candidate identifiers and traits associated with the candidate identifiers. A method may further include generating a candidate index including one or more dimensions associated with candidate traits. A method may further include intersecting the dimensions to determine if one or more candidates appear in dimensions associated with the desired candidate traits. A method may further include generating a result set based on the results of the intersecting computation. A method may further include selecting or eliminating candidates based on the results of the intersecting computation.

Abstract: A method comprises: generating, at a first computing device, a first set of gradient values associated with a data block processed by nodes of a machine learning model, the first set of gradient values being in a first data format; determining a first shared factor from the first set of gradient values, the first shared factor being in a second data format of a lower a precision than that of the first data format; and scaling the first set of gradient values with the first shared factor, to obtain a second set of gradient values having the second data format. In addition, the method comprises sending the second set of gradient values and the first shared factor to a second computing device; and, in response to receiving a third set of gradient values and a second shared factor from the second computing device, adjusting parameters of the machine learning model.

Abstract: A method for identifying a component part includes receiving a digital image of an object and textual information about the object and accessing images of component parts and textual information about the component parts. The method further includes applying the digital image to a first classifier trained on the images of the component parts to classify the object as a first of the component parts and applying the textual information about the object to a second classifier trained on the textual information about the component parts to recognize the textual information as information about the first of the component parts or a second of the component parts. The method further includes identifying the object as a component part that is the first of the component parts or the second of the component parts and accessing a data record with information about the component part.

Abstract: An approach to exchanging information between data storage devices (DSDs) within a secure data center and an external fleet health manager (FHM) application includes querying one or more DSDs for data to be analyzed, including providing a unique query identifier, whereby a particular DSD responsively provides (i) a device identifier identifying itself, (ii) a random key code for authentication and integrity purposes, (iii) the data to be analyzed, and (iv) the query identifier for the FHM application to verify. The FHM application can then digitally sign a corrective action payload, using the key code from the particular DSD, including the query identifier and the device identifier and a recommended corrective action, and transmit the signed corrective action payload to the data center for application to the particular DSD, whereby the DSD can execute pre-defined fundamental repair action operation(s) corresponding to the corrective action for in-situ repair.