Abstract: Techniques for automatically generating reports based on organizational data. For example, a computer system can include a database of organizational data associated with the organization. The organizational data includes a plurality of employee data objects and a plurality of previously generated report configuration files. The system can include a machine-learned model configured to generate a report configuration file based on a prompt. The machine-learned model can be trained using the plurality of previously generated report configuration files. The system can receive a user query requesting a report associated with the organizational data. Additionally, the system can process, using a natural language processing model, the user query and the employee data objects to generate a prompt. Moreover, the system can process, by the machine-learned model, the prompt and the organizational data to generate a report configuration file.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query provided by a user and comprising one or more terms. Obtaining context data based on at least a portion of a first resource displayed to the user at a time that the query is received. Obtaining a revised query that is based on the query and the context data. Receiving a plurality of search results responsive to the revised query. Automatically, selecting a search result that represents a second resource from the plurality of search results, and providing the second resource for display to the user.

Abstract: A method for querying data obtained from a distributed sensor network, comprising: receiving sensor data representing an aspect of an environment with a sensor of the distributed sensor network; communicating a representation of the sensor data to a fog node through an automated communication network; determining, by the fog node, a correspondence of a query received through the automated communication network to characteristics of the representation of the sensor data; and selectively communicating, in response to the query, at least one of: the sensor data having the determined characteristics corresponding to the query, an identification of the sensor data having the determined characteristics corresponding to the query, and the data representing the sensor data having the determined characteristics corresponding to the query.

Abstract: In one embodiment, a method includes receiving, from a client system associated with a user, a first user request that includes a reference to a target object and one or more of an attribute or a relationship of the target object. Visual data including one or more images portraying the target object may then be accessed, and the reference may be resolved to the target object portrayed in the one or more images. Object information of the target object that corresponds to the referenced attribute or relationship of the first user request may be determined based on a visual analysis of the one or more images. Finally, responsive to receiving the first user request, the object information of the target object may be stored in a multimodal dialog state.

Abstract: Controlling access to a system of record is provided. The method comprises receiving an API request from an endpoint to an SOR for data associated with a customer, wherein the endpoint belongs to a partner of the customer. A determination is made if the endpoint is entitled to access the data in the SOR, wherein entitlement is provided by a data entitlement template defined by the customer. Responsive to a determination the endpoint is entitled to access the customer data in the SOR, the SOR is queried based on the API request. When an SOR response is received a number of response filters are applied to the SOR response, wherein the response filters are specified in the data entitlement template according to an SOR-agnostic schema. The filtered SOR response is then forwarded to the endpoint.

Abstract: Providing access to usage reports on a cloud-based data warehouse including maintaining, by a management module, a metadata table on the cloud-based data warehouse, wherein the metadata table comprises usage reports for a plurality of organizations; receiving, by the management module, a request for the metadata table from an administrator account for a first organization of the plurality of organizations; granting, by the management module, the administrator account permission to access a filtered portion of the metadata table, wherein the filtered portion of the metadata table is generated by filtering the metadata table by an organization identifier of the first organization; and providing, by the management module, the filtered portion of the metadata table to the administrator account.

Abstract: Exemplary embodiments of the present invention provide a virtual dispatch assist system in which various types of Intelligent Agents are deployed (e.g., as part of a new CAD system architecture or as add-ons to existing CAD systems) to analyze vast amounts of historic operational data and provide various types of dispatch assist notifications and recommendations that can be used by a dispatcher or by the CAD system itself (e.g., autonomously) to make dispatch decisions.

Abstract: A computer device acquires a semantic association graph associated with n source statements belonging to different modals. The semantic association graph includes n semantic nodes of the different modals, a first connecting edge used for connecting the semantic nodes of a same modal and a second connecting edge used for connecting the semantic nodes of different modals. The computer device extracts a plurality of first word vectors from the semantic association graph. The device encodes the plurality of first word vectors to obtain n encoded feature vectors. The device also decodes the n encoded feature vectors to obtain a translated target statement.

Abstract: Systems and methods for identification and retrieval of content for visual search are provided. An example method includes receiving data specifying a digital supplement. The data may identify a digital supplement and a supplement anchor for associating the digital supplement with visual content. The method may also include generating a data structure instance that specifies the digital supplement and the supplement anchor and, after generating the data structure instance, enabling triggering of the digital supplement by an image based at least on storing the data structure instance in a database that includes a plurality of other data structure instances. The other data structure instances may each specify a digital supplement and one or more supplement anchors.

Abstract: The present invention relates to a tactile message providing method and a tactile message providing device. The tactile message providing method in a mobile device includes driving a tactile message program in a first mobile device, receiving a tactile pattern in the first mobile device, converting the tactile pattern into a tactile signal, and transmitting the tactile signal to a second mobile device. The tactile message program includes a tactile switch icon, and the tactile switch icon switches a text input window to a tactile pattern input window and the tactile pattern input window receives the tactile pattern to generate a digital signal.

Abstract: Systems and methods are provided for suggesting actions for selected text based on content displayed on a mobile device. An example method can include converting a selection made via a display device into a query, providing the query to an action suggestion model that is trained to predict an action given a query, each action being associated with a mobile application, receiving one or more predicted actions, and initiating display of the one or more predicted actions on the display device. Another example method can include identifying, from search records, queries where a website is highly ranked, the website being one of a plurality of websites in a mapping of websites to mobile applications. The method can also include generating positive training examples for an action suggestion model from the identified queries, and training the action suggestion model using the positive training examples.

Abstract: Systems and methods are described herein for generating a search query using flexible autocomplete suggestions. A text input is received, and a plurality of portions of the text input, each corresponding to a different search parameter, are identified. For each of the identified portions, at least one suggested alternate text is retrieved based on the corresponding attribute, and a user interface element is generated for display in which the original text of the respective portion is displayed, along with the suggested alternate texts for that portion, which are selectable by the user. Upon receiving selection of a suggested alternate text in at least one user interface element, a search query is generated based on each portion for which no alternate has been selected, and each selected alternate text. Search request are retrieved in response to the search query, and the results are generated for display to the user.

Abstract: An online system receives a search query from a user. In response to the request, the online system obtains search results matching the search query and identifies a set of attributes describing a context of the search query. The online system generates a data structure that includes a plurality of search coefficients. The search coefficients are selected based on the identified set of attributes. Some of the search coefficients have conflicting values. The online system traverses the data structure to identify the search coefficients having conflicting values. For each search coefficient having conflicting values, the online system resolves conflicts and determines a value of the search coefficient. The online system ranks search results based on the resolved values of the search coefficients.

Abstract: A method including analyzing the query data to formulate one or more groups of synonym candidates, wherein each synonym in the one or more groups of synonym candidates is categorized in one or more synonym candidate categories. Reformulating the first search query by removing at least one synonym candidate from the first group of synonym candidates to form a first set of synonyms such that each synonym in the first set of synonyms is categorized in the synonym candidate category that matches the search query category of the search query, wherein the at least one synonym candidate removed from the first group of synonym candidates is not categorized in the synonym candidate category.

Abstract: A method generates data visualizations. A device receives a first user input to specify a natural language command directed to a data source. The natural language command includes a first keyword that is a gradable adjective that modifies a second keyword in the natural language command. The device identifies a numerical data field, from the data source, whose field name co-occurs with the first keyword in natural language utterances in a predefined stored corpus of natural language utterances, based on quantifying co-occurrence using a co-occurrence metric. The device computes a numerical range for values of the numerical data field based on correlation of sentiment polarity of the first keyword and the field name of the numerical data field. The device then generates a data visualization for the data source, based on filtering rows of data from the data source according to the numerical range for the numerical data field.

Abstract: A shard of a selected document is identified. A hierarchy of documents including the selected document are to be tagged with metadata in a data store of a search engine so that the related documents are queryable by the metadata using the search engine. The shard specifies a location of the related documents within the data store of the search engine. For each related document, a tagging operation is generated within a script, the tagging operation specifying the metadata, the shard, an identifier of the related document, and an identifier of the selected document. The script including the generated tagging operation for each related document is transmitted to the search engine to execute to tag the related documents in the data store with the metadata and with the selected document as a source of the metadata.

Abstract: A method for presenting content items includes receiving, by a first user device, a request for a video item hosted by a content platform, and providing a graphical user interface comprising a first portion having a first media player to playback the requested video item and a second portion having a second media player to playback an additional video item of a plurality of additional video items. The requested video item comprises a plurality of portions, each associated with a corresponding portion of the additional video item based on a set of actions that were performed by a second user interacting with the corresponding portion of the additional video item. The method further includes in response to an interaction of the first user with respect to a portion of the additional video item, causing the playback of the requested video item to pause.

Abstract: Systems and methods are disclosed for associating a plurality of Internet-enabled devices with a common user profile for targeting Internet content or advertising. One method includes: receiving, from a plurality of Internet-enabled devices, a plurality of requests for electronic content or advertising; extracting, from each of the plurality of requests, a source IP address and a unique identifier associated with the respective Internet-enabled device; for each source IP address for which requests were received over a predetermined time period from a number of Internet-enabled devices below a threshold number of devices, identifying each possible pair of devices from which requests were received; and for each possible pair of devices, calculating a probability that the pair of devices are owned or operated by a common user.

Abstract: Systems, methods, and computer readable media related to generating query variants for a submitted query. In many implementations, the query variants are generated utilizing a generative model. A generative model is productive, in that it can be utilized to actively generate a variant of a query based on application of tokens of the query to the generative model, and optionally based on application of additional input features to the generative model.

Abstract: One or more computer processors match a query pattern to a received query; context information related to the received query; retrieve a set of query records including the same context information as the obtained context information from an index knowledge base, wherein each query record in the set of query records include context information related to a respective history query, the query pattern, an index type associated with the query pattern, and performance information relating to the query pattern and the index type; determine that a subset of the retrieved query records includes one or more query patterns equivalent to the matched query pattern; select a query pattern and an associated index type from the subset of query records based on associated performance information in the set of query records; and perform the received query by applying the selected query pattern and the associated index type.

Abstract: A method, a device, and a non-transitory storage medium are described, which provide a natural language-based content system with corrective feedback and training service. The natural language-based content system with corrective feedback and training service may collect data based on interaction with search results from users. The natural language understanding model may generate feedback data based on the collected data, and use the feedback data to further train the natural language understanding model and update search and discovery logic for searching and discovering contents. The feedback data may categorize errors based on the interaction, and identify differences between search queries received during a search session with a user.

Abstract: A method of information retrieval is provided. The method comprises receiving a query from a user and parsing the query in real-time as the user enters the query. The parsed query is interpreted dynamically based on a defined schema of a knowledge base, and a number of query interpretations is displayed in real-time as the user enters the query. When a selection of one of the query interpretations is received from the user information is retrieved from the knowledge base according to the selected query interpretation.

Abstract: Providing access to usage reports on a cloud-based data warehouse including maintaining, by a management module, a metadata table on the cloud-based data warehouse, wherein the metadata table comprises usage reports for a plurality of organizations; receiving, by the management module, a request for the metadata table from an administrator account for a first organization of the plurality of organizations; granting, by the management module, the administrator account permission to access a filtered portion of the metadata table, wherein the filtered portion of the metadata table is generated by filtering the metadata table by an organization identifier of the first organization; and providing, by the management module, the filtered portion of the metadata table to the administrator account.

Abstract: Aspects include receiving a request to perform an image classification task in a target domain. The image classification task includes identifying a feature in images in the target domain. Classification information related to the feature is transferred from a source domain to the target domain. The transferring includes receiving a plurality of pairs of task-irrelevant images that each includes a task-irrelevant image in the source domain and in the target domain. The task-irrelevant image in the source domain has a fixed correspondence to the task-irrelevant image in the target domain. A target neural network is trained to perform the image classification task in the target domain. The training is based on the plurality of pairs of task-irrelevant images. The image classification task is performed in the target domain and includes applying the target neural network to an image in the target domain and outputting an identified feature.

Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term or phrase is associated with a respective part of speech, and a frequency of occurrence of a combination of adjacent terms or phrases public domain is determined. A relevance of each term is then determined based on its respective type of term and frequency of occurrence in the public domain. The natural language search query is then interpreted based on the importance or relevance of each term.

Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term or phrase is associated with a respective part of speech, and a frequency of occurrence of a combination of adjacent terms or phrases public domain is determined. A relevance of each term is then determined based on its respective type of term and frequency of occurrence in the public domain. The natural language search query is then interpreted based on the importance or relevance of each term.

Abstract: Systems and methods are described herein for generating a search query using flexible autocomplete suggestions. A text input is received, and a plurality of portions of the text input, each corresponding to a different search parameter, are identified. For each of the identified portions, at least one suggested alternate text is retrieved based on the corresponding attribute, and a user interface element is generated for display in which the original text of the respective portion is displayed, along with the suggested alternate texts for that portion, which are selectable by the user. Upon receiving selection of a suggested alternate text in at least one user interface element, a search query is generated based on each portion for which no alternate has been selected, and each selected alternate text. Search request are retrieved in response to the search query, and the results are generated for display to the user.

Abstract: A method generates data visualizations. A device receives a first user input to specify a natural language command directed to a data source. The natural language command includes a first keyword that is a gradable adjective that modifies a second keyword in the natural language command. The device identifies a numerical data field, from the data source, whose field name co-occurs with the first keyword in natural language utterances in a predefined stored corpus of natural language utterances, based on quantifying co-occurrence using a co-occurrence metric. The device computes a numerical range for values of the numerical data field based on correlation of sentiment polarity of the first keyword and the field name of the numerical data field. The device then generates a data visualization for the data source, based on filtering rows of data from the data source according to the numerical range for the numerical data field.

Abstract: The present disclosure is directed to generating cross-platform electronic tokens. First information of a first user associated with a first identity platform is accessed. Second information of a second user associated with a second identity platform is accessed. The second identity platform is different from the first identity platform. The first information and the second information are analyzed to determine whether the first user and the second user are the same person. In response to a determination that the first user and the second user are the same person, a cross-platform electronic token is generated to be used for both the first identity platform and the second identity platform.

Abstract: The methods and systems are designed to utilize an integrated combination of just in time, just in place, and just on device actions connected to an image recognition process to reduce or remove the risk of a User utilizing fake or stolen credentials in order to get verified.

Abstract: Techniques for response generation are provided. One computer-implemented method comprises: receiving, by an electronic device operatively coupled to a processing unit, a query from a user. The computer-implemented method also comprises generating, by the electronic device, a dialog candidates set based on user context, wherein the user context comprises the query. The computer-implemented method can also comprise generating, by the electronic device, a response based on the dialog candidates set.

Abstract: Systems and methods are disclosed for associating a plurality of Internet-enabled devices with a common user profile for targeting Internet content or advertising. One method includes: receiving, from a plurality of Internet-enabled devices, a plurality of requests for electronic content or advertising; extracting, from each of the plurality of requests, a source IP address and a unique identifier associated with the respective Internet-enabled device; for each source IP address for which requests were received over a predetermined time period from a number of Internet-enabled devices below a threshold number of devices, identifying each possible pair of devices from which requests were received; and for each possible pair of devices, calculating a probability that the pair of devices are owned or operated by a common user.

Abstract: A relationship graph system disclosed herein provides a system and method for inferring relationships between various entities based on analysis of a plurality of observations including elements related to two different entities. The method comprises representing each of the plurality of observations using a relationship edge between two nodes, each of the two nodes representing an element related to one of the two different entities, assigning a score to each relationship edge based on metadata related to the observation represented by the relationship edge, combining a plurality of relationship edges between the elements related to the two different entities to generate an aggregate relationship edge between the two different entities, and inferring a relationship between the two different entities based on length of the aggregate relationship edge between the two different entities.

Abstract: A machine learning system builds and uses computer models for identifying or predicting intensity of emotional reactions elicited by a particular video. Such computer models may also determine which particular emotional reaction corresponds to certain times during the video, and whether these reactions are positive or negative for a particular user. The computer models can also predict emotional reactions likely to be elicited by new videos based on learned correlations between video features and elicited emotional reactions.

Abstract: A computer-implemented method includes scanning data maintained on multiple social networks, where, scanning includes identifying a first set of data that is associated with a protected social entity. Scanning data maintained on one or more additional platforms, where, scanning includes identifying a second set of data that is associated with the protected social entity. Scanning data is performed on a continuous basis without user initiation. One or more characteristics of the first set and second set of identified data are determined, and a reference to the identified data, that indicates the characteristic, is generated for each of the one or more characteristics. The one or more generated references of the first set of identified data is compared to the one or more generated references of the second set of identified data. A correlation score is determined based on the comparison, and a threat level indicator is generated based on the determined correlation score.

Abstract: Methods and systems for network-based user authentication are provided. In one embodiment, a method is provided that include receiving a request to connect to a local network. The request may be received from a user device and may include a user device identifier. The method may then include allowing the user device to connect to the local network and create a partial identity of a user of the user device. The partial identity may include a plurality of identification factors associated with the user. The method may then include monitoring network activities of the user device and updating the partial identity based on the monitored network activities.

Abstract: Tagged sound file libraries are searched using an iterative search application. A searcher specifies a multi-term search query which is directed to the sound libraries. Responsive audio files from the libraries are ranked by confidence levels for the occurrence of sounds corresponding to searched terms, weighted by user-determined search term priorities. High-ranking candidate audio files are presented to the user who is able to indicate a preference or a disfavoring of the candidates. Based on the feedback, the application adjusts the priorities of the individual search terms in the search query, adds or removes search terms from the query, and performs a new search with a revised set of search terms. The results are ranked using the adjusted priorities. The iterative search locates files with desired sounds that conform to the initial search or that have evolved from it under the user's direction.

Abstract: A method performed by a physical computing device communicatively coupled to a computer network for creating an aggregate report of a presence of a user of the physical computing device on the network includes periodically searching the network with the physical computing device for content related to the user authored by a source other than the user, the searching being based on a unique set of identifiers associated with the user, dynamically updating the unique set of identifiers based on contextual trends within content returned as a result of the searching, and aggregating content published by the user to the network with the content returned as a result of the searching to form the aggregate report of the presence of the user on the network.

Abstract: In various embodiments, training objects are classified by human annotators, psychometric data characterizing the annotation of the training objects is acquired, a human-weighted loss function based at least in part on the classification data and the psychometric data is computationally derived, and one or more features of a query object are computationally classifies based at least in part on the human-weighted loss function.

Abstract: A method for presenting a graphical user interface (GUI) of a software application connected to a server, the software application comprising at least a database, is provided. The method receives, at the server, user input comprising a search; generates, at the server, a set of search results based on the search, the set of search results being associated with entities of the software application, each of the entities comprising a respective database object containing predefined categories of data, the database comprising at least the database object; determines a priority order of the search results, based on user interaction history with the entities; and presents, via the GUI, the search results according to the priority order.

Abstract: Techniques for dynamic display of visualized units received from plural sources are described. Visualized units are scheduled for display for a time period and rendered on the display for the time period. The visualized units can be shared according to user preferences, picked according to a user selection into personal, shareable sets of visualized units. The visualized units can be annotated, mixed from different sources and focused.

Abstract: In some embodiments, a client application at a computing device can receive a request to generate a digital focus area based on input criteria. In response to the request, the client application can search a local storage and/or a remote storage for content related to the input criteria to yield a content collection, the remote storage being associated with a user account registered at a content management system. The client application can generate a workspace for the digital focus area, the workspace containing selected content from the content collection. The client application can pin, to a desktop displayed on the computing device, an interface object associated with the digital focus area, the interface object providing access to the workspace. The client application can then monitor events associated with the input criteria, and update the digital focus area based on one or more of the events associated with the input criteria.

Abstract: Systems, methods, and media for translating requests to acquire or change goods and services by receiving a request in a service catalog. The received request is received in a format that is not suitable for a target vendor. The received request is then translated into a format suitable for the target vendor. The translated received request is then transmitted to the vendor using the translated format.

Abstract: A dependency is created between a first search query and a second search query. The first search query defines a first data processing pipeline and the second search query defines a second data processing pipeline that extends the first data processing pipeline. A modification is detected to the first data processing pipeline defined by the first search query. Based on the modification to the first data processing pipeline being detected, the dependency is enforced such that the second data processing pipeline is modified to extend the modified first data processing pipeline. The modification to the first data processing pipeline can include a first set of pipelined commands corresponding to the first search query being modified, and the dependency can be enforced by causing a second set of pipelined commands corresponding to the second search query to be modified to include the modified first set of pipelined commands.

Abstract: Described are methods, systems and computer readable media for keyed row data selection and processing.

Abstract: A method and server for training a machine learning algorithm (MLA) for determining a query-completion suggestion for a partial query is disclosed. The method comprises receiving and parsing past queries into n-grams. Each one of the n-grams being associated with respective n-gram features, the n-gram features being indicative of a pair-based co-occurrence of n-grams in the past queries. The method also comprises, for a given n-gram of a given past query: selecting at least one candidate n-gram from the n-grams based on the pair-based co-occurrence; generating respective feature vectors for the given n-gram and the at least one candidate n-gram; generating a training set for the given n-gram comprising an input portion and a label portion; and training the MLA based on the training set to determine a predicted group-based co-occurrence of at least one in-use candidate n-gram and at least one in-use n-gram.

Abstract: Systems and methods are disclosed for associating a plurality of Internet-enabled devices with a common user profile for targeting Internet content or advertising. One method includes: receiving, from a plurality of Internet-enabled devices, a plurality of requests for electronic content or advertising; extracting, from each of the plurality of requests, a source IP address and a unique identifier associated with the respective Internet-enabled device; for each source IP address for which requests were received over a predetermined time period from a number of Internet-enabled devices below a threshold number of devices, identifying each possible pair of devices from which requests were received; and for each possible pair of devices, calculating a probability that the pair of devices are owned or operated by a common user.

Abstract: The present disclosure describes a method and device for presenting information. An example method includes receiving an information presentation request sent from a first terminal and acquiring a first network address of the first terminal. At least one account according to the first network address, a first period to which a current time moment belongs, and a prestored correspondence between a network address, a period and an account are determined. Presentation information matching with account information of the at least one account is selected and the presentation information is sent to the first terminal.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for expanding search queries using query term weighting. A search system receives a search term comprising multiple keywords and executes a search query based on the search term. In response to determining that the number of search results is less than a threshold number, the search system determines, based on historical query reformulation data, weight values for the keywords included in the search term. The weight values indicate a probability that each respective keyword would be removed when reformulating the search term. The search system generates a reformulated search term based on the weight values and executes a second search query based on the reformulated search term. The search system causes presentation of at least a portion of the search results on a client device of the requesting user.

Abstract: The system receives user-selected fields from a set of candidate fields. Based on the user-selected fields, the system recommends at least one candidate field from the set of candidate fields. The system may select the at least one candidate field for recommendation based, at least in part, on a set of one or more prior queries. Responsive to receiving a user selection of a recommended candidate field, the system adds the recommended candidate field to the set of user-selected fields to obtain an updated set of user-selected fields. The system executes the query based on the updated set of user-selected fields.