Abstract: Systems, methods, and non-transitory computer-readable medium are disclosed includes for secure online credential authentication. One method includes receiving, over an electronic network, identification information from an identity provider; accessing, from a database, previously stored hashed identification information stored in association with a previous identity provider; comparing the identification information to previously stored hashed identification information; and storing the identification information in association with the identity provider that provided the identification information in the database when the hashed identification information does not match previously stored hashed identification information.

Abstract: A system and method is presented that extracts snippets form web pages according to specially designed logic. The extracted snippets might be made relevant to, i.e., indexed by, a location and time/day applicability. Such snippets may be thought of as apps or services that are defined only when a mobile terminal is in a pre-defined geographical area at a certain time and day (e.g., as defined by a calendar of events). Extracted snippets are stored and made searchable. Methods and a system are described to control the display of snippet search results. Snippets may be selected by user or by programmed logic and executed on the mobile terminal or in remote servers without the need to download the app or source code associated with the snippet.

Abstract: Methods, systems, and computer-readable media for similarity detection based on token distinctiveness are disclosed. A similarity detection system determines candidate items for a seed item based on a comparison of tokens in textual descriptions of the candidate items to tokens in a textual description of the seed item. The system uses machine learning to determine importance scores for the tokens of the seed item. An importance score is determined based on the frequency of the individual token and the frequency of the most commonly occurring token in the candidate items. Importance scores for the same token differ from the seed item to another seed item. Based on the importance scores, the system determines similarity scores for the candidate items to the seed item. The system selects, from the candidate items, a set of similar items to the seed item based (at least in part) on the similarity scores.

Abstract: To provide an information processing system, an information processing device, an information processing method, and a recording medium capable of distributing special content for relieving a user's negative circumstances. According to the present disclosure, there is provided an information processing system including: a communication unit configured to receive at least current position information regarding a user; and a control unit configured to cause the communication unit, if the control unit determines that a predetermined area containing a position indicated by the current position information is an area that makes people staying in the predetermined area feel unpleasant, to distribute specific content to the user.

Abstract: A data marketplace for enriching data records by matching, identifying composite data records, and utilizing Reference Source datasets. Customer data can be tokenized and then subsequently transmitted to a third-party Data Marketplace Platform. Similarly, a Reference Source dataset may be tokenized and transmitted to a Data Marketplace Platform. On the Data Marketplace Platform, the customer data and the reference source data may be compared, wherein certain data attributes (i.e., tokens on the Data Marketplace Platform) may be identified as missing in the customer dataset and present in the reference source dataset. The customer may then have the ability to acquire the missing and value-added data attributes by transacting with the reference source via a data broker, such as the Data Marketplace Platform.

Abstract: Data enrichment and augmentation is disclosed. Machine data comprising at least one of a log message and a metrics data point is received. The received machine data comprises an identifier of an instance of a virtual machine. Based at least in part on the identifier of the instance of the virtual machine, a query for tags associated with the instance of the virtual machine is performed. At least one key-value pair is generated based at least in part on tags received in response to the query performed based at least in part on the identifier of the instance of the virtual machine. The received machine data is augmented with the at least one key-value pair generated based at least in part on the tags received in response to the query based at least in part on the identifier of the instance of the virtual machine.

Abstract: A computing system can receive, from a mobile application executing on a mobile device, at least one image that has been captured on the mobile device and corresponds to an interaction. The computing system can extract interaction data from each image. The computing system can transmit a notification to the mobile device indicating that the interaction data has been extracted from the images. The computing system can receive a request to transmit the plurality of interactions to an entity server for processing. The computing system can generate, based on the interaction data, an application programming interface request that is configured to cause the entity server to process the plurality of interactions. The computing system can transmit the application programming interface request to the entity server and receive a confirmation from the entity server that the plurality of interactions have been processed.

Abstract: At least one target in a speech of a first speaker during an electronic conference is identified. A closest vector between the identified target and a group of possible matches for the target is determined. A most similar match for the identified target is determined based on a current usage context for the identified target, a history of stored information associated with the first speaker and the identified target, and the determined closest vector. The most similar match to a set of participants of the electronic conference is displayed.

Abstract: A method and system may be implemented for automatically analyzing data in a database. A method for use in a low-latency database analysis system may include generating a schema. The schema may be based on a portion of an external database. The method may include storing the schema in an in-memory database. The method may include receiving a data-query. The method may include generating a resolved-request. The resolved-request may be based on the data-query and the stored schema. The stored schema may be used for executing the query on the external database. The method may include receiving results data responsive to the data-query from the external database. The method may include outputting the results data for display on a user interface.

Abstract: A software system for use with a network controller is disclosed. The software system comprises a plurality of modules, wherein some of the modules are specific to the network protocol used by the network controller. Other modules are usable for a variety of network protocols without modification. In this way, the development of the software for a network controller may be simplified resulting in less development time. Further, this system allows for flexibility to add attributes and rules at any time without modification to most of the system. The software system includes an attribute store, a resolver engine, a frame handler, a frame transmitter and a frame receiver.

Abstract: A system for transmitting information to users via a website or mobile application is described herein. The system includes a database and a server including a processor. The processor is programmed to receive a transmittal request to transmit a communication message to a recipient address, select a recipient type associated with the recipient address, and responsively generate a unique communication identifier including information indicative of the selected recipient type and the communication message. The processor generates and transmits a notification message including the unique communication identifier to the recipient address. The processor also receives a display request to display the communication message in response to a recipient user accessing the unique communication identifier including the selected recipient type.

Abstract: This disclosure is directed to systems and methods for generating a communication associated with or based on optimization data. Generating a communication may include (i) receiving first data associated with a first computing device or a first computing device user; (ii) generating at least two of: verification data, consistency data, and activity data; and (iii) generating optimization data.

Abstract: In some implementations, a method includes obtaining a pharmaceutical content item that provides information regarding a pharmaceutical article that is associated with a plurality of pharmaceutical topics. In some implementations, the pharmaceutical content item includes a plurality of portions including a first portion and a second portion. In some implementations, the method includes determining that the first portion provides information regarding a first subset of the plurality of pharmaceutical topics and that the second portion provides information regarding a second subset of the plurality of pharmaceutical topics. In some implementations, the method includes generating a first pharmaceutical label for the first portion based on the first subset of the plurality of pharmaceutical topics and a second pharmaceutical label for the second portion based on the second subset of the plurality of pharmaceutical topics.

Abstract: In implementations of systems for generating interactive reports, a computing device implements a report system to receive input data describing a dataset and an analytics report for the dataset that depicts a result of performing analytics on the dataset. The report system generates a declarative specification that describes the analytics report in a language that encodes data as properties of graphic objects. Editing data is received describing a user input specifying a modification to the analytics report. The report system modifies the declarative specification using the language that encodes data as properties of graphic objects based on the user input and the dataset. An interactive report is generated based on the modified declarative specification that includes the analytics report having the modification.

Abstract: In some aspects, a server trains an artificial intelligence (AI) to create a trained AI. The training includes: selecting a content creator from multiple content creators to create a selected content creator, selecting a plurality of content items associated with the content creator to create selected content items, training the AI using the selected content items, determining a creator influence of the selected content creator on the trained AI based on an aggregate influence of the selected content items on the AI during the training, and including the creator influence in a static attribution vector. After the training is completed, the trained AI receives an input and generates an output. The server creates an attribution determination based at least in part on the static attribution vector and initiates providing compensation to one or more of the multiple content creators based at least in part on the attribution determination.

Abstract: Disclosed herein are example embodiments of an improved narrative generation system where an analysis service that executes data analysis logic that supports story generation is segregated from an authoring service that executes authoring logic for story generation through an interface. Accordingly, when the authoring service needs analysis from the analysis service, it can invoke the analysis service through the interface. By exposing the analysis service to the authoring service through the shared interface, the details of the logic underlying the analysis service are shielded from the authoring service (and vice versa where the details of the authoring service are shielded from the analysis service). Through parameterization of operating variables, the analysis service can thus be designed as a generalized data analysis service that can operate in a number of different content verticals with respect to a variety of different story types.

Abstract: Systems and methods are provided herein for recommending a pause position during a binge-watching session. A series containing multiple sequential episodes is provided to a user device. Then it is determined whether the user is engaged in binge-watching the series. If the user is binge-watching the series, a binge compulsion score is determined for each episode of the plurality of sequential episodes, where the binge compulsion score is based on how many additional sequential episodes an average user has watched after watching that episode. Then, in response to determining that the binge compulsion score of the next episode corresponds to a threshold, a prompt is generated for display, where the prompt includes a recommendation to the user to pause the series before the next episode begins.

Abstract: A server 4 executes a set extracting step (S1) of extracting a set from a plurality of documents according to a condition using time information, an inter-document similarity calculation step (S2) of calculating inter-document similarity between content of one document and content of another document included in the set, a cluster classifying step (S3) of classifying documents that are similar based on the inter-document similarity in the set into a plurality of clusters, an inter-cluster similarity calculation step (S6) of calculating inter-cluster similarity between clusters of a plurality of sets, and a cluster associating step (S7) of generating association information in which clusters that are relevant are linked to each other over sets based on the inter-cluster similarity.

Abstract: The technology disclosed relates to formulating and refining field extraction rules that are used at query time on raw data with a late-binding schema. The field extraction rules identify portions of the raw data, as well as their data types and hierarchical relationships. These extraction rules are executed against very large data sets not organized into relational structures that have not been processed by standard extraction or transformation methods. By using sample events, a focus on primary and secondary example events help formulate either a single extraction rule spanning multiple data formats, or multiple rules directed to distinct formats. Selection tools mark up the example events to indicate positive examples for the extraction rules, and to identify negative examples to avoid mistaken value selection. The extraction rules can be saved for query-time use, and can be incorporated into a data model for sets and subsets of event data.

Abstract: A memory device may include logical units configured to store data, wherein the logical units are identified by corresponding logical unit numbers (LUNs) and are associated with corresponding LUN queue groups. Each LUN queue group may include LUN queues that are each associated with a respective intra-LUN priority level that indicates a priority of a LUN queue within a LUN queue group. The LUN queues are each associated with a respective execution priority level that indicates a priority for execution of commands in a LUN queue across LUN queue groups. A quantity of intra-LUN priority levels may be greater than a quantity of execution priority levels. A LUN scheduler may be configured to select and transfer commands from LUN queue groups to the execution queue group based on intra-LUN priority levels. A command executor may be configured to execute commands from the execution queue group based on execution priority levels.

Abstract: One or more computing devices, systems, and/or methods for generating and providing recommendations of products are provided. For example, content is extracted from a message sent to a user. The content is evaluated to identify a product identifier corresponding to a product title of a product. If the product identifier is a truncated version of the product title, then a database of product titles and frequencies of occurrence of the product titles is used to complete the product title. A model is used to infer a product category for the product title. Matching scores are assigned to products within a product category based upon weighted attributes. A recommendation is provided to the user for a product having a matching score greater than a matching threshold.

Abstract: An image management method includes: after a video stream sent by a camera is obtained, recognizing a face image in the video stream through face recognition; comparing the image with a face image that is in an area in which the camera is located in a database; and if the comparison fails, expanding the area in which the camera is located around, and then comparing the face image with face images in an area obtained after the area in which the camera is located is expanded.

Abstract: The present disclosure discloses a text classification system based on feature selection and a method thereof in the technical field of natural language processing and short text classification, comprising: acquiring a text classification data set; dividing the text classification data set into a training text set and a test text set, and then pre-processing the training text set and the test text set; extracting feature entries from the pre-processed training text set through improved chi-square statistics to form feature subsets; using TF-IWF algorithm to give the weight to the extracted feature entries; based on the weighted feature entries, establishing a short text classification model based on a support vector machine; and classifying the pre-processed test text set by the short text classification model. The present disclosure solves the problem that the short text content is sparse to some extent, thereby improving the performance of short text classification.

Abstract: A constellation planning system receives a request, from a client, to plan an optimal set of tasks for one or more satellites in a constellation of satellites and at least one ground station in a constellation of ground stations. The request includes a planning problem object. The system generates a status of the planning task describing a progress of the planning task, and returns the status to the client. If the status of a task is successful, then the client may retrieve the resulting schedule and publish it to the constellation.

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: 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: 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: 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: 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 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: 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 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 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 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: 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: 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: 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: 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: 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: 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: 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: 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.