Abstract: A method for determining a category responsive to a user query is disclosed. The method includes receiving a training data set comprising a plurality of data pairs, each data pair including: (i) a query; and (ii) an associated one or more categories that are responsive to the query, wherein the one or more categories in the training data set defines a plurality of categories. The method includes training a machine learning algorithm, according to the training data set, to create a trained model, wherein training the machine learning algorithm includes: creating a first co-occurrence data structure defining co-occurrence of respective word representations of the queries with the plurality of categories, and creating a second co-occurrence data structure defining co-occurrence of respective categories in respective data pairs. The method also includes deploying the trained model to return one or more categories in response to a new query input.

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, by an assistant xbot associated with the one or more computing systems, a user request for a content digest, retrieving one or more content objects corresponding to the user request, generating one or more slides for the one or more retrieved content objects, respectively, and providing, by the assistant xbot, instructions for presenting the content digest responsive to the request from the first user, wherein the content digest comprises the one or more slides, and wherein one or more of the slides of the content digest are removed from the content digest after a predetermined time period.

Abstract: Techniques are described herein for selecting, curating, normalizing, enriching, and synthesizing the results of user experience (UX) tests. In some embodiments, a system receives input defining or modifying a theme schema for classifying results of user experience tests. Responsive to receiving the input, the system trains a themer model based at least in part on example classifications in a training dataset, where the classifications map results to themes within the theme schema. When a new set of results for a user experience test is received, the trained machine learning model may generate a set of predicted themes to classify the test results. The output of the model may be used to render user interfaces and/or trigger other actions directed to optimizing a product's design.

Abstract: A system and methods for provisioning and managing databases are disclosed. A request is received to provision a database for a software application, including a general database type and one or more parameters for the requested database. Based on the received request, the system generates database recommendations including a recommended specific type of database. The system receives a selection of one of the recommended databases and determines whether a user submitting the request is approved, based on a level of privileges or a quota. When the user is approved for the selected database, the system generates the selected databased by retrieving database code from a repository. The system updates an inventory to reflect the provisioning of the generated database. The generated database can then be managed using the system, including predicting adverse events associated with the generated database and/or predicting a need to adjust resources for the generated database.

Abstract: A skip behavior analyzer is part of a media delivery system that allows for unbiased A/B testing of a plurality of versions of a song. The media delivery system stores a plurality of versions of a song and randomly selects, for each requesting device, a version of the song to associate with that device. Each time the device requests the song, thereafter, the media delivery system will provide the same version of the song for consistency. The media delivery system then gathers song play and skip information, calculates the differences in distribution of the skip behavior, and provides the skip information to allow a music composer to better determine which version of a song is more popular and why that is so.

Abstract: Methods and systems are described for novel uses and/or improvements to federated learning. As one example, methods and systems are described for improving the applicability of federated learning across various applications and increasing the efficiency of training a global model through federated learning. As another example, methods and systems are described for ensuring comprehensive training data is available to models assigned by the federated learning server. Additionally, methods and systems are described for improving the rate of training a global model through federated learning.

Abstract: A method of generating a social platform service screen includes directing, by at least one processor of a computer device, the social platform service screen to land on one of a recommended feed tab and a following feed tab according to a situation associated with the social platform service screen at an entry request point in time, the recommended feed tab configured to display a personalization-based recommended post and the following feed tab configured to display relationship-based following posts contained within a following feed.

Abstract: A method of controlling a mobile agricultural machine that includes performing an agricultural operation during a given pass in a field using a first set of machine settings, obtaining in situ data representing the agricultural operation during the given pass, generating a performance metric based on the in situ data, identifying a second set of machine settings based on the performance metric, and outputting a control instruction that controls the mobile agricultural machine during a subsequent pass in the field based on the second set of machine settings.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for detecting aggregation events.

Abstract: Methods and systems for rule-based machine learning for precise fraud detection. One system includes an electronic processor configured to determine, via a decision tree, a first subset of datasets of an aggregate dataset collection generated using a rule-based model. The electronic processor is also configured to select a third collection of datasets, each dataset included in the third collection of datasets associated with a user characteristic associated with fraud. The electronic processor is also configured to determine, via the decision tree, a second subset of datasets of the third collection of datasets, each dataset included in the second subset of datasets associated with a second set of user characteristics associated with fraud. The electronic processor is also configured to, in response to determining that an accuracy score associated with the second set of user characteristics satisfies a threshold, generate and transmit a report for display.

Abstract: A biometric awareness training platform and method of monitoring, evaluating, and training a participant's physiological response to stimulation employs a content delivery system for providing variable content to the participant, a physiological tracking system to measure physiological responses as the participant experiences the delivered content, and a progress tool for delivering an actionable status based on the participant's measured physiological responses. The progress tool evaluates the physiological response measurements to provide a status indicator such as green, yellow, or red representing the participant's current physiological status.

Abstract: A method, computer system, and a computer program product for order compliance is provided. The present invention may include determining a shipping destination for an order request received from a user, wherein the order request includes one or more items. The present invention may include generating a digital twin for each of the one or more items in the order request. The present invention may include determining a compliance of the order request with a plurality of importation requirements of the shipping destination based on an analysis of the digital twin for each of the one or more items. The present invention may include generating a compliance report for the order request, wherein the compliance report includes at least a compliance status of each item included in the order request.

Abstract: A method and system for computing a score and achievement level for system users based on actions that the users perform in corresponding applications and systems. An algorithm calculates and tracks a score for each user, where the score is incremented by a prescribed number of points for each action performed by the user in the systems. The point value of each action is dependent upon the type of action and other factors including how many times, and when, the user has previously performed the same type of action. Each user's score is converted to a system usage level. The score and level are displayed to the user in the system, along with tips for how to earn more points and how to achieve a level upgrade. Rewards or incentives may be attached to achievement of certain scores and/or levels.

Abstract: Given a search result, the set of authors-identifiers appearing in it can be determined by use of a hash function, and an array-type data structure called an audience fingerprint (AF). The AF has as many storage locations as the hash function has possible output values. The number of possible output values is chosen to be large enough, with respect to the maximum number of unique authors expected in any one search result, to create a very high probability of a unique output value for each unique author-identifier that is hashed. At the AF location, addressed with a hash value, is stored an indicator that the author-identifier is present. The indicator can be a single bit, simplifying set operations on AFs. When not in working memory, an AF can be stored as a compacted sparse array. The actual author-identifiers present can be determined, from an AF, with an inverse hash function.

Abstract: Systems and methods for streaming classification of distributed ledger-based activities are disclosed.

Abstract: In an example, a first set of text may be received from a client device. A set of content items may be selected from among content items based upon the first set of text and a plurality of sets of content item text associated with the content items. A set of terms may be determined based upon the first set of text and the set of content items. A similarity profile associated with the set of terms may be generated. The similarity profile is indicative of similarity scores associated with similarities between terms of the set of terms. Relevance scores associated with the set of terms may be determined based upon the similarity profile. One or more search terms may be selected from among the set of terms based upon the relevance scores. A search may be performed based upon the one or more search terms.

Abstract: A system to generate a web index includes a computing device having a processor and a memory operatively coupled to the memory. The computing device is configured to access a plurality of webpages through a network along a directed route. The computing device is also configured to generate an index corresponding to the plurality of webpages. The computing device is further configured to distribute a digest corresponding to the index to one or more additional computing devices in the network.

Abstract: The present disclosure provides a method and a system for training a machine learning system. Multiple pieces of sample data are used for training the machine learning system. The method includes acquiring multiple sample sets, each sample set including sample data in a corresponding sampling time period; setting a sampling rate for each sample set according to the corresponding sampling time period; acquiring multiple sample sets sampled according to set sampling rates; determining importance values of the multiple sampled sample sets; correcting each piece of sample data in the multiple sampled sample sets by using a corresponding importance value to obtain corrected sample data; and inputting the corrected sample data into the machine learning system to train the machine learning system.

Abstract: The present technology addresses deficiencies associated with common practices for handling out of order data in a streaming data database. An aspect of the present technology is avoid storing out of order data in a snapshot but just store the out of order data as additional data linked to the temporal graph. The present technology receives out of order data and records a modification time for the data and a next modification time for the data that equals a timestamp of data previously stored in the database. If there is also data in the database for a time earlier than the timestamp of the out of order data, the earlier data is adjusted so that its next modification time matches the timestamp of the out of order data.

Abstract: Methods and apparatus for predicting an association between input data in a first modality and data in a second modality using a statistical model trained to represent interactions between data having a plurality of modalities including the first modality and the second modality, the statistical model comprising a plurality of encoders and decoders, each of which is trained to process data for one of the plurality of modalities, and a joint-modality representation coupling the plurality of encoders and decoders. The method comprises selecting, based on the first modality and the second modality, an encoder/decoder pair or a pair of encoders, from among the plurality of encoders and decoders, and processing the input data with the joint-modality representation and the selected encoder/decoder pair or pair of encoders to predict the association between the input data and the data in the second modality.

Abstract: A computer-based system and method for classifying users of a database including obtaining an activity rate time series describing activity level of a database user versus time, extracting features from the activity rate time series, the features including a measure of repetition in the activity level, mean activity load and a percentage of the time in which the user is active, and determining a type of the database user based on the extracted at least one feature. The measure of repetition in the user activity is calculated by performing a Fourier transform on the activity rate time series to produce a transformed series; detecting spikes in the transformed series; and measuring a percentage of information in the transformed series which is included in the spikes.

Abstract: Unauthorized use of user credentials in a network is detected. Data indicative of text strings being used to access resources in the network is accessed. Regex models are determined for the text strings. Troupings of the regex models are determined based on an optimization of a cumulative weighted function. A regex model having a cumulative weighted function that exceeds a predetermined threshold is identified. An alert is generated when the cumulative weighted function for the identified regex model exceeds the predetermined threshold.

Abstract: Systems and methods are provided for determining a query involving at least one dataset comprising a plurality of records, the query being submitted by a first user operating a computing device. An archetype policy that governs access to records of the at least one dataset can be determined, wherein the archetype policy includes at least one logical formula to be evaluated when determining whether a requesting user is permitted to access a given record, and wherein the at least one logical formula is satisfied based at least in part on a state associated with the requesting user and at least one first variable evaluated by the at least one logical formula. At least one record that the first user is permitted to access can be determined based at least in part on satisfaction of the at least one logical formula associated with the archetype policy.

Abstract: Systems and methods are disclosed herein for processing a natural language query. A receiver circuitry receives the natural language query from a user. A natural language interpreter circuitry parses the natural language query to convert the natural language query into a plurality of categories and a plurality of variables, each variable in the plurality of variables corresponding to one category in the plurality of categories. A user interface displays to the user the plurality of categories' and the plurality of variables, and allows the user to modify at least one variable in the plurality of variables by providing a natural language utterance.

Abstract: A method of ranking recommendations comprising receiving a recommendation to improve space utilization of a space, retrieving context data associated with the space, the context data including data describing previous user interest in other recommendations related to the recommendation and at least one of: data describing a current space utilization for the space, data describing a number of recommendations that are associated with the space, data describing environmental preferences of first individuals associated with the space or a building including the space, or data describing an organizational grouping of second individuals associated with the space or the building, calculating a score for the recommendation based on the previous user interest and the at least one of: the current space utilization, the number of recommendations, the environmental preferences, or the organizational grouping, and performing an action based on the score using at least one of the score or the recommendation.

Abstract: Systems and methods are disclosed herein for identifying a category of a search term and providing search results subject to the identified category. These systems and methods may be performed by a media guidance application. The media guidance application may receive a search term that may correspond to different categories of items, and the media guidance application may identify a category that the search term is most likely related to using a hierarchical structure. The media guidance application may limit the search to the identified category of items.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in a content system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods determine a breaking news story and track breaking developments in such story. The present disclosure can construct a breaking news storyline from the developments in the detected breaking news story, whereby a user can view the storyline as individual breaking news messages or as a complete timeline of events displayed on a provided page.

Abstract: Enhanced filter accuracy is disclosed with respect to determining whether a data element is present in a data store. The filter can correspond to a probabilistic filter with multiple levels. At each level after a representation of an original data element is captured in a data structure, a predetermined modification can be applied to the data element and a representation of the resulting modified data element can be captured in the data structure. In query operation, a check be performed for the presence or absence of an input data element and a number of modifications of the input data element, which results in a reduced false positive probability and improved accuracy. A multidimensional data structure can also be employed in conjunction with multiple levels to further improve accuracy.

Abstract: A system for automatic fleet partitioning includes client devices and a device management server having tag definition and tag assignment repositories. The server receives and stores, in the tag definition repository, definitions with tag assignment criteria; and for each client device: obtains a client identifier and attribute set; for each tag assignment criterion satisfied by the attribute set, associates a corresponding tag name with the client identifier in the tag assignment repository; and for each tag assignment criterion not satisfied by the attribute set, disassociates the corresponding tag name with the client device identifier. The server receives a command to transmit control data to a subset of the client devices associated with a selected tag name; retrieves, from the tag assignment repository, the client identifiers associated with the selected tag name; and transmits the control data to the subset of the client devices.

Abstract: Systems, methods, and computer-readable storage media for determining compliance of a container with composite signatures are disclosed. The disclosed techniques utilize a first device (e.g., an edge device) to determine characteristics of a container, such as dimensions, weight, indicia, or a combination thereof. Information indicative of the characteristics is sent to a computing device that determines a composite signature (or parameters) of the container based on the information. The computing device compares the composite signature (or parameters) to one or more stored composite signatures to determine compliance of the composite signature (e.g., of the container) with the one or more stored composite signatures (or stored parameters). The computing device also controls a process of managing a release of the container based on the compliance or non-compliance.

Abstract: Methods and apparatus related to associating a task with a user based on the user selecting a task suggestion that is provided to the user in response to a user query. In some implementations, the task may be identified based on similarities between the words and/or phrases of the user query and a task suggestion that is associated with a task. In some implementations, the task may be identified based on user data associated with the user. In some implementations, the task may be associated with additional information related to completing the task.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a user request for a media item is received. Based on the user request, at least one media item and a description of the at least one media item are identified. A confidence level is obtained that an identified media item of the at least one media item corresponds to the requested media item. In accordance with a determination that the confidence level exceeds a first confidence threshold, a length of the identified description is reduced to obtain a modified description and the modified description of the identified media item is provided in a first spoken response.

Abstract: The present disclosure relates to systems and methods for identifying one or more target roads. The systems may perform the methods to obtain a heat map associated with a plurality of driving track points along a plurality of roads in a target region, wherein the plurality of roads includes one or more target roads and one or more reference roads; obtain a road network map associated with the one or more reference roads in the target region; produce an intermediate heat map by: eliminating pixels in the heat map corresponding to the one or more reference roads in the road network map, eliminating background pixels corresponding to background of the heat map, and thinning the heat map; and determine start coordinate information and end coordinate information associated with the one or more target roads based on the intermediate heat map according to a linear transformation.

Abstract: A system, method and product for client-side automated application programming interface (API) mapping of a computerized system. The method comprises creating a mapping by: detecting, by a client-side agent that is operated on a client device executing a frontend of the computerized system, an invocation by a first application of the API function of a second application, wherein the API function is defined by a function prototype comprising a domain of potential values for an input or output parameter of the API function; and based on information gathered by the client-side agent, automatically determining a logical schema of the API function, wherein the logical schema defining a logical function prototype comprising a sub-domain of the domain of potential values, wherein the sub-domain restricting at least one value of the domain.

Abstract: Provided is a display device including: a display; a communicator; a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, to perform control to extract a video fingerprint from current content being displayed on the display, transmit the extracted video fingerprint to a server, receive, from the server, a first response comprising a matching result of the extracted video fingerprint and video fingerprints stored in the server, extract an audio fingerprint from the current content being displayed on the display in case that the extracted video fingerprint matches a plurality of video fingerprints stored in the server according to the first response, transmit the extracted audio fingerprint to the server, and receive, from the server, a second response comprising a matching result of the extracted audio fingerprint and audio fingerprints stored in the server.

Abstract: Methods, systems, and apparatus for classifying a new example using a comparison set of comparison examples. One method includes maintaining a comparison set, the comparison set including comparison examples and a respective label vector for each of the comparison examples, each label vector including a respective score for each label in a predetermined set of labels; receiving a new example; determining a respective attention weight for each comparison example by applying a neural network attention mechanism to the new example and to the comparison examples; and generating a respective label score for each label in the predetermined set of labels from, for each of the comparison examples, the respective attention weight for the comparison example and the respective label vector for the comparison example, in which the respective label score for each of the labels represents a likelihood that the label is a correct label for the new example.

Abstract: Systems and methods for rapid importation of data including temporally tracked object recognition. One of the methods includes receiving datasets each indicating information associated with one or more objects. Information indicating unique identifying information associated with the objects is accessed, and an updated dataset joining information from datasets that is associated with each object is generated. The updated dataset is maintained to include most recent versions of each of the datasets, with one or more datasets being replaced with more recent versions, and with one or more other datasets being propagated to be the most recent versions. Queries received from clients are responded to, with the queries indicating requests for specific information related to objects.

Abstract: An AI platform may receive a request for information on text. The text is processed through a text mining pipeline for dynamic attribute extraction. An engine determines entities in the text and utilizes the entities to determine a relationship pattern. The engine identifies a trigger by matching one of the entities with a predefined entity in a utility authority file, locates an entity in close proximity to the trigger, identifies a value or regular expression in close proximity to the trigger in the text, and creates a triplet containing the entity, the trigger, and the value or regular expression, the triplet representing the relationship pattern. The engine applies an action to the triplet, wherein the action comprises obtaining the value from the text or translating the regular expression. The engine attaches the value or a result from the translating to the entity as a dynamic attribute of the entity.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which provides trigger-based personalized sales outreach based on a user's request. The request comprises a list of target companies/people. The server scans a variety of sources by web crawling the sources' web documents and finds news items relevant to the target companies/people. The server determines an importance score for each news item that measures the probability of a sales representative being interested in the news item. The server applies a set of filters comprising a network of neural networks to filter out false positives. The analytic server determines a relevancy score for each news item. The server generates a GUI to display the news items satisfying certain thresholds. Based on the user's selection on the news items, the server uses the news items as triggers of outreach and generates an electronic message template prepopulated with the news items.

Abstract: Systems and methods are disclosed for receiving, at a first data intake and query system, a query that includes an indication to process data managed by another data intake and query system. The first data intake and query system identifies a second data intake and query system that manages the data to be processed and generates a subquery for execution by the second data intake and query system, generates instructions for one or more worker nodes to receive and process results of the subquery from the second data intake and query system, and instructs the worker nodes to provide results of the processing to the first data intake and query system.

Abstract: In some embodiments, an apparatus includes a memory associated with an instance of a distributed database at a compute device configured to be included within a first group of compute devices. The apparatus is configured to determine an order for each event from the set of events based on different configurations of an event consensus protocol. The different configurations are logically related to different configurations of compute devices that implement the distributed database. The apparatus is configured to determine a current state of the instance of the distributed database based on the order determined for each event from the set of events and generate a signed state associated with the instance of the distributed database based on a hash value associated with the current state. The apparatus sends a signal to post into the instance of the distributed database an event that includes a transaction indicative of the signed state.

Abstract: Disclosed herein are system, method, and computer program product embodiments for analyzing screen data to provide collaboration and consumption opportunities. An embodiment operates by receiving screen data of a visible portion of a display of a computer and metadata associated with the screen data. The screen data and the metadata are associated with a user. The embodiment extracts text from the screen data using optical character recognition. The embodiment identifies a topic associated with the screen data based on the extracted text. The embodiment stores a mapping between the topic and the user and the metadata in a database. The embodiment then provides information about the user based on the mapping.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for identifying and playing media content are provided. An example media-playback device for identifying and playing media content for a user traveling in a vehicle includes an audio identification engine and a media playback engine. Audio content is recorded and identified by comparison to media content databases. The audio content is identified and immediately played on the same device. Additional media content is selected for playback based on user listening preferences.

Abstract: A computing system includes an anonymizer server. The anonymizer server is communicatively coupled to a data repository configured to store a personal identification information (PII) data. The anonymizer server is configured to perform operations including receiving a repository configuration request comprising an anonymized data schema, and creating an anonymized data repository clone based on the anonymized data schema. The anonymizer server is also configured to perform operations including anonymizing the PII data to create an anonymized data by applying a one-way data masking, a one-way data morphing, or a combination thereof, and storing the anonymized data in the anonymized data repository clone.

Abstract: Systems and methods are disclosed for executing a query that includes an indication to process data managed by an external data system. The system identifies the external data system that manages the data to be processed and generates a subquery for the external data system. The system determines a data ingest estimate and uses the data ingest estimate to generate instructions for one or more worker nodes to receive and process results of the subquery from the external data system.

Abstract: The application relates to a method for creating a user-augmented index, including: receiving information identifying data, a first user-created category and a first user-designated value from the first user. The data, the first user-created category, and the first user-designated value are associated together in a data entry in the user-augmented index. A second user-created category and a second user-designated value are received from the second user. The second user-created category and the second user-designated value are also associated with the data entry in the user-augmented index. The application further relates to ranking one or more related data entries in response to a query of a user-augmented index.

Abstract: A system for detecting service issues within multi-sourced service data. The system includes a memory and one or more electronic processors coupled to the memory. The electronic processors are configured to receive one or more data sets in near real time, and to enrich the dataset with one or more metadata parameters, pre-clean the data within the dataset, and determine one or more data points within the dataset that are semantically similar to each other. The electronic processors are also configured to generate a similarity score for each of the semantically similar data points, and determine one or more significant clusters within the dataset within a predefined lookback window. The electronic processors are also configured to analyze the determined significant clusters to determine the existence of one or more service issues, and generate a service alert based on the analysis determining that one or more service issues are present.

Abstract: Systems, devices, media and methods are presented for retrieving a current location of client device, accessing geographic data based on the current location of the client device, analyzing the geographic data to identify a plurality of geographic features, for each geographic feature of the plurality of geographic features, identifying a direction from the current location of the client device to the respective geographic feature and a confidence level indicating a probability that the current location of the client device is at the direction, returning the direction and the confidence level to the client device, and based on the direction and confidence level, causing presentation of graphical data on a user interface within the client device.

Abstract: An information processing apparatus includes an obtaining unit configured to obtain information of a plurality of labels applied to the learning data by a plurality of users, information regarding reliability of each applied label itself, and information regarding reliability of a user who applies the relevant label, wherein the information of the label is information regarding a result to be recognized in a case where the predetermined recognition is performed on the learning data and a determination unit configured to determine a label to the learning data from among the plurality of labels based on the reliability of the label itself and the reliability of the user who applies the relevant label.

Abstract: A method of joining a first dataset configured to store a set of data entries each identified by a respective key of a first type and a second dataset configured to store a second set of data entries identified by a respective key of a second type, the method comprising: selecting an intermediate mapping entity from a set of possible intermediate mapping entities, each mapping entity storing association between keys of the first type and keys of the second type; providing the selected intermediate mapping entity for use in joining the first data set with the second data set; wherein the step of selecting the intermediate mapping entity is based on the intersection weight between the first and second data sets via each of the intermediate mapping entities, wherein the intersection weight is the proportion of overlapping data entries between the first and second datasets.