Abstract: In some examples, closed loop monitoring based privileged access control may include identifying a ticket that includes a specification of an incident that is to be remedied and determining an intent of the ticket. A privileged access command library may be analyzed to determine a plurality of privileged access steps that can be performed to remedy the incident. A source file associated with procedures that were performed to remedy the incident may be analyzed. A plurality of events may be identified using the source file and filtered based on the plurality of privileged access steps that can be performed to remedy the incident. At least one event that includes at least one other privileged access step that is not one of the plurality of privileged access steps that can be performed to remedy the incident may be identified, and instructions may be generated to remedy the identified event.

Abstract: Methods and systems for processing insurance policies associated with properties may be provided. A property may be populated with a plurality of smart devices or devices that are connected to a central controller, such as via wired or wireless communication, whereby the plurality of devices are covered by an insurance policy, such as a homeowners, renters, or personal articles insurance policy. The central controller may receive identifications for the devices, and may update an inventory list to include the plurality of devices. A total market value of the devices may be calculated, and the central controller may estimate any modification to the insurance policy based upon the total market value. The controller may facilitate the modification to the insurance policy with a customer and an insurance provider. The smart devices may be, or be associated with, appliances, electronics, computers, televisions, jewelry, vehicles, furniture, or other equipment or personal belongings.

Abstract: There is disclosed a method and system for determining users submitting abnormal organization ratings. The method comprises retrieving organization rating activity. The method comprises generating a graph of the organization rating activity and determining a complete subgraph in the graph. The method then comprises determining whether the ratings for the subgraph satisfy a threshold distribution, and after determining that the ratings do satisfy the threshold distribution, storing an indication that the users who submitted those ratings are associated with abnormal organization ratings.

Abstract: Systems, apparatus, and methods for providing promotions to consumers based on search queries are discussed herein. Some embodiments may include a system including circuitry configured to receive a search query from a consumer device. The circuitry may be further configured to determine a related promotion to the search query based on having received the search query from consumers in connection with promotion purchase data indicating purchase of the related promotion, such as may be indicated by historical data. Furthermore, the circuitry may provide an impression of the related promotion to the consumer device based on the search query. Consumer interactions with the system may be tracked as historical data and leveraged to provide one or more related promotions that are relevant and/or related to the search query.

Abstract: A system and a method for scheduling a reduce task on nodes is disclosed. The various nodes in a cluster of nodes are bucketized into intermediate data items. A counter is created that provides a count of the intermediate data items that are placed into the each of the buckets for the node. This counter value is provided to a scheduler. From the counter information the scheduler is able to determine the cost of moving the intermediate data for the bucket to different ones of the nodes. Once the cost of moving the intermediate data is determined the scheduler is able to determine which of the nodes should perform the reduce task for that particular bucket. The scheduler minimizes the amount of shuffling of the intermediate data between the nodes for each of the buckets, by determining the lowest cost shuffle option for each of the buckets.

Abstract: The disclosure provides an efficient dataset search and/or deduplication that improve the speed and efficiency of dataset record search and/or deduplication over traditional methods. Certain implementations apply field-level deletion neighborhood processing to ordered field permutations of dataset records encoded with hash values. A method includes determining a field-level deletion neighborhood for two or more field combinations of the record by determining field hash values, creating field permutations, determining combined record hash values for each permutation; and associating each record hash value to the unique entity identifier. The method includes searching other entity representation records for matching combined record hash values, and assigning one or more of a unique entity identifier and a duplicate entity identifier to the other entity representation records having the matching combined record hash values.

Abstract: A computer-implemented method includes: determining a target user corresponding to a payment request and a plurality of payment channels corresponding to the payment request; obtaining payment features based on the target user and the plurality of payment channels, in which the payment features include features representing historical characteristics of one or more payments made by the target user using one or more of the plurality of payment channels; determining, based on the payment features, a recommendation score corresponding to each of the plurality of payment channels in accordance with a prediction model; and generating, based on the determined recommendation scores of the plurality of payment channels, a recommendation including at least one of: a selection of at least one of the plurality of payment channels, and a manner of presentation of at least one of the plurality of payment channels.

Abstract: A system and method includes: implementing an intelligence and insights service; identifying an anomalous observation output by a data processing pipeline based on streams of data sourced from a subscriber to the intelligence and insights service; recursively inputting into a subset of the data processing pipeline of the intelligence and insights service a plurality of dimensions of the streams of data based on attributes of the anomalous observation; automatically identifying one or more driving factors causing the output of the anomalous observation based on an analysis within the subset of the data processing pipeline of plurality of dimensions of the streams of data; generating a story component based on a conversion of the one or more driving factors; and augmenting the story component to a pre-existing story relating to the anomalous observation that is provided to the subscriber via a user interface.

Abstract: Various embodiments are provided for providing intelligent data utility constraint information in a computing environment are provided. One or more utility constraints may be extracted from a dataset and a set of queries and applications to infer one or more data transformations to apply to selected data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for claim verification. One of the methods includes: receiving, from a first entity, a request for verifying a verifiable claim (VC) that comprises a digital signature; obtaining, based on the VC, a public key associated with a second entity; determining that the digital signature is created based on a private key associated with the public key; and verifying the VC based on the determination.

Abstract: A recommendation server is provided. The recommendation server includes a communicator configured to receive, from a first device, when a first user's input for communicating with a second user is received by the first device of the first user, a transmission request with respect to a list of a plurality of items of content related to an operation of the first device which was performed when the first user and the second user met each other; and a controller configured to determine a time when the first user and the second user met each other, based on at least one of first user's activity information of the first user and second user's activity information of the second user, and to provide, to the first device, a list of a plurality of items of content related to an operation of the first device which was performed at the determined time.

Abstract: A computer-implemented method, apparatus, and system for discretizing lane markings and for generating a lane reference line is disclosed. A polynomial defined over an (x,y) coordinate system is received, the polynomial being representative of at least a portion of a lane boundary line. A length of the polynomial is determined. The polynomial is discretized, comprising determining a plurality of discretization points on the polynomial to represent the polynomial, wherein a first discretization point is a first end of the polynomial, wherein subsequent discretization points are determined successively until the polynomial is completely discretized, and wherein each discretization point other than the first discretization point is determined based at least in part on a slope of the polynomial at a previous discretization point. Thereafter, a lane reference line comprising a plurality of points is generated based on the discretized polynomial.

Abstract: Described is a system for guiding opinions of users of a social media network. The system determines a number of control agents to be inserted into a population of users of the social media network. The system also determines a rate at which an expressed opinion of each control agent should change over a period of time. A control strategy is output which includes a control schedule based on the number of control agents to be inserted into the population of users and the rate at which the expressed opinion of each control agent should change over the period of time. Finally, the control schedule is deployed in the social media network.

Abstract: Methods related to determining and utilizing one or more attributes to associate with an IP addresses. Attributes are determined based on request data provided with requests from an IP address and one or more available secondary information sources. Attributes may include physical locations and/or category designations for the IP address. One or more attributes may be assigned a likelihood value indicative of likelihood that the attribute is associated with the IP address. Some implementations are directed to utilizing the attributes and likelihood values to identify likely fraudulent information provided with requests. Some implementations are directed to utilizing the attributes and likelihood values to provide advertisements in response to requests from IP addresses.

Abstract: Embodiments are directed towards a system and method for a cloud-based front end that may abstract and enable access to the underlying cloud-hosted elements and objects that may be part of a multi-tenant application, such as a search application. Search objects may be employed to access indexed objects. An amount of indexed data accessible to a user may be based on an index storage limit selected by the user, such that data that exceeds the index storage limit may continue to be indexed. Also, one or more projects can be elastically scaled for a user to provide resources that may meet the specific needs of each project.

Abstract: An original text that is a representation of a narration of a patient encounter provided by a clinician may be received and re-formatted to produce a formatted text. One or more clinical facts may be extracted from the formatted text. A first fact of the clinical facts may be extracted from a first portion of the formatted text, and the first portion of the formatted text may be a formatted version of a first portion of the original text. A linkage may be maintained between the first fact and the first portion of the original text.

Abstract: Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for detecting identity document photograph replacement. One computer-implemented method includes receiving image data of a cropped photograph region of an identity document (ID), where the ID comprises a photograph, and where the cropped photograph region comprises at least the photograph. Using a multiclass classification model and as a predicted ID category, an ID category is predicted based on the image data of the cropped photograph region, where the predicted ID category corresponds to a predefined class of a set of predefined classes in the multiclass classification model. The predicted ID category is compared with an indicated category of the ID. In response to a calculated mismatch between the predicted ID category and the indicated category of the ID, a determination is made that the cropped photograph region includes a replaced photograph.

Abstract: A computer-implemented system and method for achieving strong consistency in an eventually consistent distributed system. The system comprises a database and an application server hosting a computer software product that a user subscribes to in order to access the product via a user device over a network. The application server receives a first service request from the user device for obtaining a first set of features associated with the user. The application server may ensure that the user receives a useable and correct set of features.

Abstract: Techniques and structures to facilitate classification of source code files is disclosed. The techniques include receiving a plurality of source code files; and classifying each of the plurality of source code files, including analyzing source code details of a source code file and assigning one or more classifier tags to the source code file based on the source code details of the source code file, wherein each classifier tag is associated with one of a plurality of programming teams.

Abstract: In some examples, a system may use content classes to manage indexing of object data. A content class may include a set of one or more content properties. Each content property may include a name, an expression for extracting data, and an expression type. When object data is received, such as for indexing, the expression type of each content property may be compared with the data type of the received data. Based at least in part on determining that the expression type matches the data type, the system may extract a data value from the received data in accordance with the expression. The system may save the extracted data value to a data structure in association with the name of the content property, and may subsequently use the data value and the name of the content property when creating an index for the object data.

Abstract: Search query result set count estimation is described. A system parses data set query that includes first query attribute and second query attribute. The system identifies first hierarchy of connected nodes including a first node representing a first query attribute, and a second hierarchy of other connected nodes including a second node representing a second query attribute. The system identifies a directed arc connecting first correlated node in first hierarchy to second correlated node in second hierarchy. The system identifies cross-hierarchy probabilities of correlations between values of a first attribute represented by the first correlated node and values of a second attribute represented by the second correlated node.

Abstract: Provided are an apparatus and method of interworking IoT servers associated with heterogeneous platforms. The method of providing IoT resource information in an IoT server operating based on a first IoT platform includes: receiving device information of a first IoT device to register in a resource table; transmitting resource information of the first IoT device including a resource path of the first IoT device to an external IoT server through an interworking brokerage server; receiving resource information of a second IoT device registered in the external IoT server operating based on a second IoT platform through the interworking brokerage server; and translating an original resource path included in the resource information of the second IoT device into a format according to the first IoT platform to store the resource information of the second IoT device including the original resource path and a translated resource path in the resource table.

Abstract: A computer-implemented system and related method are provided for operating a digital inventory system. The method comprises receiving, from an imaging device, an image comprising an object and performing object recognition on the image to determine an object type of the object. The method further comprises determining when the object is to be added to an inventory database based on inventory rules stored in a memory of the digital inventory system. When these rules indicate that the object is to be added, the object is added to the inventory database. The method determines a value of the inventory object based on valuation information related to other objects of a same or similar object type. The value is associated with the inventory object. The inventory object is displayed along with its value on a computer display.

Abstract: A building management system (BMS) includes building equipment, an eventseries generator, and a storage interface. The building equipment are configured to generate a plurality of data samples. Each of the data samples includes a data value and a timestamp. The eventseries generator is configured to assign a sample state to each data sample based on the data value of the data sample and generate one or more events based on the timestamp of each data sample and the sample state assigned to each data sample. Each of the events includes a start time, an end time, and an event state. The eventseries generator is configured to generate an eventseries including the one or more generated events. The storage interface is configured to store the eventseries in an eventseries database.

Abstract: Systems and methods are described herein for curating content that follows a narrative structure. A narrative structure comprises narrative portions that have a defined order. Signature analysis of known content that follows the narrative structure is used to train machine learning models for the narrative structure and the narrative portions that make up the narrative structure. Signature analysis of candidate content segments, along with machine learning models for the narrative portions, are used to identify candidate content segments that match the respective narrative portions. A candidate playlist is generated of the identified candidate content segments in the defined order. In one embodiment, the machine learning model for the narrative structure is used to validate the generated playlist.

Abstract: A method for managing data from different sources into a unified searchable data structure is an application to manage a data library to increase the accuracy and efficiency for retrieving information. The method is intended to be used by employees of individual organizations to find and reference commonly used websites, electronic files, documents, or templates within the organization. The end-user is able to import content from an external source. Metadata from the external source and that specific end-user's behavior influences a set of content tags associated with a content reference for the external source. The content reference is a pointer to the external source to allow the present invention to display the external source along with the set of content tags to the user who navigated or searched within the application.

Abstract: An initial list of candidate items automatically evaluated and chosen for an end-user is provided. A selection of one or more items in the initial list of candidate items is received from an expert user different than the end-user to include in an item group set for the end-user. Eligible items are evaluated to identify an additional item to include in the item group set based at least in part on an expert judgment prediction machine learning model trained to predict based at least in part on the one or more items already in the item group set a likelihood of a certain item being evaluated would be selected for inclusion in the item group set. Based on the evaluation, the additional item is included in the item group set. Member items in the item group set are indicated.

Abstract: Systems, methods and apparatus for creating, analyzing and updating a property inventory are disclosed which include receiving, from a user operating a mobile device, a request to add a new item of property to an insurance inventory associated with an insurance policy, the request including information identifying the new item, at least a first image of the new item, and information identifying a location of the new item. An insurance inventory system is operated to add the new item to an insurance inventory associated with the insurance policy, the updating including computing a total current value of the insurance inventory including the new item. A coverage engine is operated to compare coverage limits associated with the insurance policy to the total current value of the insurance inventory to determine if the total current value is within a coverage limit of the insurance policy. A response is transmitted to the user based on the determination.

Abstract: In one aspect, a request is sent to a device for a device descriptor that describes custom interfaces. The custom interfaces may be expressed according to a defined data structure. The device descriptor that describes the custom interfaces is received at a gateway. An interface agnostic application is executed to translate the device descriptor to the custom interfaces for consumption of the data described by the custom interfaces.

Abstract: A cross-measurement system gathers data from a set of publishers to determine cross-publisher statistics about content provided on multiple online platforms associated with different publishers. The cross-measurement system receives a set of publisher-specific Bloom filters associated with content exposure of a content set by each of the multiple publishers. using the received publisher-specific Bloom filters, the cross-measurement system generates a cross-publisher Bloom filter, for example, by combining the publisher-specific Bloom filters. Then, the cross-measurement system analyzes the cross-publisher Bloom filter to determine cross-publisher statistics reflecting the content exposure of the content set across the set of publishers, such as a cross-publisher reach of the content set.

Abstract: As part of providing the services to users, an online system stores multiple records that are accessible by users of the online system. When a user provides a search query, the online system extracts morphological and dictionary features from the query. The online system provides the extracted features to a machine learning model as an input. The machine learning model outputs a score for each potential entity type that indicates a likelihood that the search query is for a record associated with the entity type. The output from the machine learning model is used by the online system to select one or more entity types that the user is likely searching for. The online system searches the stored records based on the search query but limits the searching to records associated with at least one of the selected entity types.

Abstract: A client system can improve processing speeds by executing queries locally. A remote database can have a partitioned, columnar database. Queries from the client can be executed on the remote database, and blocks of a partition of the partitioned, columnar database can be sent to the client. Once the client has enough blocks to form the partition, the client can execute queries that reference the partition. The queries can be executed using templates for specialized expression evaluators.

Abstract: Examples described herein may perform various operations based on mood congruency. An example method involves accessing, from a database, a first mood vector that describes first media data and specifies an association between a first value and a first mood, accessing, from the database, a second mood vector that describes a second media data and specifies an association between a second value and a second mood, retrieving a first score that represents congruency between the first and second moods, the first score being retrieved from a data structure that correlates the first and second moods, using a processor, generating a second score that represents congruency between the first and second mood vectors, the generating the second score being based on the accessed first and second values and the retrieved first score, and, based on at least the generated second score, providing an indicator to a module.

Abstract: Lossless switching between search grammars is described herein.

Abstract: Broadly speaking, embodiments of the present invention provide systems, methods and apparatus for cellular compositions/generating music in real-time using cells (i.e. short musical motifs), where the cellular compositions are dependent on user data.

Abstract: An execution control method that causes a computer to execute a process, the process includes generating a first regression line that indicates a correlation between a reception time point of each of a plurality of event messages received in a first time period and a generation time point of each of the plurality of event messages, calculating, for each of the plurality of the event messages, a first difference between the generation time point of each event message and a value on the first regression line corresponding to the reception time point of each event message, and determining, based on a margin time in accordance with the calculated first difference, a notification time point to be added to a control message indicating a communication state of the plurality of event messages.

Abstract: A system and method for salting and fingerprinting database tables, text files, data feeds, and the like, first resorts the data according to a field or fields in the data set. A salting recipe is selected and applied to the sorted data. A fingerprint of the data is captured after sorting and salting. The data is then restored to its original order before being sent to a trusted third party. Because the data owner retains information concerning the sorting sorting sonar technique, salting technique, and the fingerprint, the data owner can reconstruct the unsalted file from the salted file, and can determine if a wild file contains data from the data file. The salting is difficult to detect by the bad actor, even if the bad actor is aware that the data has been salted.

Abstract: Systems and methods for computing data privacy-utility tradeoff is disclosed. Large data hubs like data marketplace are a source of data that may be of utility to data buyers. However, output data provided to data sellers is required to meet the privacy requirements of data sellers and at the same time maintain a level of utility to data buyers. Conventionally known methods of achieving data privacy tend to suppress components of data that may result in reduced utility of the data. Systems and methods of the present disclosure compute this tradeoff to establish need for data transformation, if any, before data is shared with data sellers.

Abstract: A method, system and computer-usable medium are disclosed for using table-based groundtruth to train a question-answer (QA) system, comprising: receiving a corpus of text comprising unstructured text and a table; performing QA pair generation operations on the unstructured text and the table to generate QA pairs, the QA pairs being based upon information obtained from the table; assigning a score to each QA pair, the score corresponding to an indicator of user interest.

Abstract: In an approach for construing similarities between datasets, a processor accesses a pair of sets of feature weights, wherein the sets of feature weights include a query dataset and comprises first weights associated to first features and a reference dataset and comprises second weights associated to second features. Based on similarities between the first features and the second features, a processor discovers flows from the first features to the second features, wherein the flows maximize an overall similarity between the pair of sets of feature weights. Based on the similarities and the flows, a processor computes pair contributions to the overall similarity in order to obtain contributive elements, wherein the pair contributions are contributions of pairs joining the first features to the second features. A processor ranks the contributive elements to obtain respective ranks. A processor returns a result comprising the contributive elements and indications to the respective ranks.

Abstract: The present invention is generally directed to a playback device configured to audibly output audio in a multi-network environment. The device may include a network interface to receive audio and/or video data over a plurality of wireless networks; speaker drivers; one or more color indicators associated with wireless networks; a user interface to receive a user's selection of a specific wireless network through a the use of a color indicator; and one or more processors to sign into a selected first wireless network and receive data therefrom, and to audibly output the data received; receive from the user interface a selection of a specific color, the specific color associated with a second wireless network; sign out of the specific wireless network and into the second wireless network; and receive from the second wireless network data, and output the audio via the one or more speaker drivers.

Abstract: The disclosure herein describes synchronizing a data cache and an LSM tree file system on an object storage platform. Instructions to send a cached data set from the data cache to the LSM tree file system are received. An updated metadata catalog is generated. If the LSM tree structure is out of shape, compaction is performed on the LSM tree file system which may be on a different system or server. When an unmerged compacted metadata catalog is identified, a merged metadata catalog is generated, based on the compacted metadata catalog and the cached data set, and associated with the cached data set. The cached data set and the associated metadata catalog are sent to the LSM tree file system, whereby the data cache and the LSM tree file system are synchronized. Synchronization is enabled without the data cache or file system being locked and/or waiting for the other entity.

Abstract: The present technology pertains to a organization directory hosted by a synchronized content management system. The corporate directory can provide access to user accounts for all members of the organization to all content items in the organization directory on the respective file systems of the members' client devices. Members can reach any content item at the same path as other members relative to the organization directory root on their respective client device. In some embodiments novel access permissions are granted to maintain path consistency.

Abstract: Innovative techniques are disclosed for performing a combined sort and aggregation operation involving eagerly performing aggregation while sorting. The techniques described herein enable an aggregation and a group-by operation to be performed using an amount of system memory that is far less than the system memory required to store all the data records being processed while minimizing the need to spill data to disk. This combined sort and aggregation operation has better performance than conventional techniques since system memory is used more efficiently. In certain embodiments, a combined sort and aggregation operation is disclosed that enables the efficient sorting and aggregation of data records when the desired aggregation function is composable (such as SUM, COUNT, MIN and MAX aggregate operations).

Abstract: A network service or application can receive dietary goals or conditions for a user or group of users. The network can determine threshold dietary amounts that users can receive over a predetermined time period to satisfy the goals or conditions. The network can monitor user consumption over the predetermined time period by collecting data from heterogeneous data streams (e.g., data associated with different structures, data types, types of data store, sources, processing rates, etc.), processing the data, storing the data using a distributive processing framework, and exposing optimized views into the data to provide smart virtual shopping cart functionality. The network can evaluate user consumption and food items placed into a virtual shopping cart to determine whether purchasing the items satisfy the thresholds, and if not, issue warnings, provide recommendations for substitute food items, and/or take other appropriate actions.

Abstract: A method comprising: during a first time period, obtaining one or more first content ratings of a particular content item from one or more first users, each first content rating defining a first user measure of a belief state of the particular content item; and generating a first content score for the particular content item, the first content score defining a crowd-sourced measure of the belief state of the particular content item; during a second time period, obtaining one or more second content ratings from one or more second users for the particular content item, each second content rating defining a second user measure of the belief state of the particular content item; and generating a second content score for the particular content item, the second content score defining a second crowd-sourced measure of the belief state of the particular content item; comparing the second crowd-sourced measure of the belief state of the particular content item against each of the one or more first content ratings of t

Abstract: In accordance with embodiments, there are provided mechanisms and methods for facilitating regulation-compliant processing of queries in an on-demand services environment according to one embodiment. In one embodiment and by way of example, a method includes receiving a query having first information not permitted to be stored per a regulation and second information permitted to be stored, and parameterizing the query into a parameterized query to replace the first information with parameters, where the first information includes data types. The method further includes annotating the parameters with decisions based on data properties correspondingly associated with the data types being represented by the parameters, and generating a final query based on the annotated parameters such that the final query is capable of being executed based on the annotated parameters and without storing the first information.

Abstract: Provided are a method, an apparatus and an electronic device for determining a knowledge sample data set, the method includes: acquiring a preset number of SPO triplet formats and source texts; acquiring, according to the SPO triplet formats, n SPO entries corresponding to the SPO triplet formats; searching, in the source texts, m first texts that match the n SPO entries, and generating a first knowledge sample data set; determining k second texts that meet the SPO triplet formats from the m first texts and generating a second knowledge sample data set; generating a target knowledge sample data set according to the first knowledge sample data set and the second knowledge sample data set. In the embodiments, the knowledge sample data set is automatically generated, the volume generation speed is fast, the cost is low, and the data size that can be produced is large, thus meeting the training requirement.

Abstract: A non-transitory computer-readable storage medium having stored therein a program executing a process includes when starting capture of data, acquiring a pair of first identification information and a file name; recording the pair and an acquisition time in management information; when it is detected that the first identification information included in the captured data is associated with a file name included in another data captured before the captured data, recording a pair of the first identification information and the file name and a capture time in the management information; when a reference request for the data is received, specifying a file name corresponding to first identification information and time information included in the reference request, the file name being specified by referring to the management information; converting the first identification information into the specified file name, the first identification information being included in the data; and outputting the data.

Abstract: A device for use in a system for tracking a chain-of-manipulation (CoM) of audio-video (AV) content includes a hardware processor, and a system memory storing a CoM tagging software code and an AV processing application. The hardware processor executes the CoM tagging software code to detect manipulation of the AV content by the AV processing application that modifies at least one of video or audio of the AV content, and to generate, when the manipulation is detected, one or more CoM tag(s) including a device identification tag identifying the device used for modifying the AV content. The hardware processor also executes the CoM tagging software code to insert the CoM tag(s) in each modified segment of the AV content modified by the AV processing application, the inserted CoM tag(s) being human and machine imperceptible when the AV content is played back by a playback device on a display.