Abstract: Certain aspects of the present disclosure provide techniques for improving a user experience of an application. Embodiments include receiving, from a user and via a user interface, a request for informational content related to a step in a workflow within the application. Embodiments include determining an identifier associated with the step. Embodiments include retrieving a reference document based on the request. Embodiments include accessing metadata associated with the reference document to identify context information associated with the identifier. Embodiments include displaying a portion of the reference document to the user within the user interface based on the context information, wherein the portion of the reference document comprises the informational content.

Abstract: The technology relates to selecting and displaying images captured at different points in time. As an example, a user of a computing device may view a first street level image as viewed from a particular location and oriented in a particular direction. The user may select other time periods for which similar images are available. Upon selecting a particular time period, a second street level image may be displayed concurrently with the first street level image, wherein the second street level image was captured on or around the selected time period. If the user changes the perspective of the first image an automatic change in perspective of the second image may occur.

Abstract: A system is provided for configuring legacy file-based workflows to remotely and dynamically access media essence. An example system includes a filename generator that dynamically generates a filename for corresponding media content in an essence store in response to a selection by a file-based workflow application running on a media production computing device. The system includes an identity file generator that generates a respective identity file for the selected content and that includes the generated filename. Furthermore, the system includes a content API that queries an essence access database using the generated identity file to obtain metadata that indicates access information for the media content. The content API then configures the file-based workflow application to access the media content from the essence store based on an accessed track number and byte length of the respective media content accessed in response to the query of the media essence access database.

Abstract: In some examples, human centered computing based digital persona generation may include generating, for a digital persona that is to be generated for a target person, synthetic video files and synthetic audio files that are combined to generate synthetic media files. The digital persona may be generated based on a synthetic media file. An inquiry may be received from a user of the generated digital persona. Another synthetic media file may be used by the digital persona to respond to the inquiry. A real-time emotion of the user may be analyzed based on a text sentiment associated with the inquiry, and a voice sentiment and a facial expression associated with the user. Based on the real-time emotion of the user, a further synthetic media file may be utilized by the digital persona to continue or modify a conversation between the generated digital persona and the user.

Abstract: Management of fuel dispenser media is provided. In general, a fuel dispenser can be in communication with a media library configured to facilitate delivery of media to the fuel dispenser for output therefrom. The media library can be on board the fuel dispenser or can be included in a gateway configured to communicate with the fuel dispenser. The media library is configured to query one or more media sources for media information and to retrieve media information therefrom that is specific to the fuel dispenser. Additionally or alternatively, the media library is configured to query the one or more media sources for updates to the retrieved media information and, if updated, to retrieve the updated media content from the media source(s).

Abstract: Systems and methods for searching for a media asset are described. In some aspects, the system includes control circuitry that receives a first search query from a user. The control circuitry identifies media assets related to the first search query from a content database. The control circuitry receives a second search query following the first search query. The control circuitry determines whether a media asset from the media assets is related to the second search query. In response to determining that less than a threshold number of media assets from the media assets are related to the second search query, the control circuitry transmits an instruction requesting the user to repeat the second search query. The control circuitry receives a third search query related to the first search query. The control circuitry determines a media asset from the media assets that is related to the third search query.

Abstract: A method includes receiving input from a client at least partially specifying one or more characteristics, wherein the initial input includes a seed image and a natural language statement describing a desired change to the seed image; predicting one or more attributes of the seed image by operation of a neural network on the seed image; and parsing the natural language statement to identify desired changes to the one or more attributes of the seed image. The method also includes generating an interim target image by changing the one or more attributes of the seed image, according to the parsed natural language statement; selecting a set of images from an image database for output to the client, each of said set of images being determined to at least partially satisfy the one or more changed attributes of the seed image; and displaying the set of images to the client.

Abstract: Disclosed are apparatuses, methods, and computer readable media for improved multi-datatype searching comprising receiving a search query of a first datatype, generating a vector of the first datatype describing the search query, expanding the vector of the first datatype to include a second datatype vector, wherein the second datatype vector is different from the first datatype but may be conceptually equivalent, and wherein the second datatype is associated with the vector of the first datatype, and performing a search based on the first datatype and a search on the second datatype.

Abstract: An image selector selects images for visual similarity in some aspects and visual distinction in other aspects. A user submits a query to a search engine. Images identified by the search engine as relevant to the query are clustered into clusters having at least one similar attribute. Selection mechanisms organize images selected from each cluster based on a similarity metric into image rows. A selection metric is calculated for each image row and a row to be displayed is selected based on the selection metric. In some embodiments, images representative of a subset of image rows are displayed to a user and responsive to selection of a representative image, the corresponding image row is displayed.

Abstract: Features described herein generally relate to a graphical user interface that includes an insight hub and an insight carousel. In one example, a system can receive insights associated with transactions, generate an image carousel that includes slides populated with information associated with the insights, and generate another interface page that includes insight listings corresponding to multiple insights.

Abstract: Systems and methods for image processing are described. One or more embodiments of the present disclosure identify an image including a plurality of objects, generate a scene graph of the image including a node representing an object and an edge representing a relationship between two of the objects, generate a node vector for the node, wherein the node vector represents semantic information of the object, generate an edge vector for the edge, wherein the edge vector represents semantic information of the relationship, generate a scene graph embedding based on the node vector and the edge vector using a graph convolutional network (GCN), and assign metadata to the image based on the scene graph embedding.

Abstract: A method of providing a personalized audio briefing to a user is performed at an electronic device. The device receives identification of information sources associated with the user. Each of the information sources is associated with a content type. The device receives an authorization to access the identified information sources and a preferred order of content types for presentation within the audio briefing. It transmits to a remote system the identification, the authorization, and the preferred order. Following the transmitting, the device receives a verbal input from the user requesting the audio briefing. In response to the verbal input, the device receives a response generated by the remote system, including content from the information sources and information inserted by the remote system based on the authorization to access received from the user. The device outputs an audible response according to the preferred order.

Abstract: Device for detecting partial matches between a first time varying signal and a second time varying signal, the device including: a fingerprint extraction stage; and a matching stage, wherein each feature information of a first fingerprint is pairwise compared with each feature information of a second fingerprint; wherein the matching stage includes a similarity calculator stage; wherein the matching stage includes a matrix calculator stage configured for arranging similarity values in a similarity matrix having dimensions of La×Lb, wherein an entry in the i-th row and j-th column of the similarity matrix is the similarity value calculated from the pair of the i-th feature information of the first fingerprint and of the j-th feature information of the second fingerprint; wherein the matching stage includes a detection stage configured for detecting the partial matches by evaluating a plurality of diagonals of the similarity matrix.

Abstract: Systems and methods are provided for performing operations including: retrieving, by one or more processors, a plurality of content items; identifying a first content item from the plurality of content items to which a user has previously reacted; determining a category of the first content item; selecting a second content item in the plurality of content items that is associated with the determined category of the first content item to which the user has previously reacted; and presenting the second content item to the user in a presentation arrangement of a graphical user interface.

Abstract: There is provided a method for producing a customized content, comprising identifying a customizable content from which to produce the customized content, identifying a base content in the customizable content, and receiving at least one customizing criterion as input. The method further comprises determining a plurality of content modifiers for harmonizing the base content and the customizing criterion, extracting the plurality of content modifiers from a modification library, and integrating the plurality of content modifiers with the base content to produce the customized content. In one embodiment, the method is embodied as instructions stored on a computer-readable medium. A system for producing customized content comprises a content host hosting a customizable content including a base content, a modification library, and a content customizing application.

Abstract: A system for controlling playback of various types of content includes a first computing device that provides a unique identifier to a second computing device to establish an association there between. By virtue of the established association, the second computing device can send one or more messages to the first computing device, the one or more messages referencing a piece of content associated with a first media playing element of a plurality of media playing elements, and one or more commands corresponding to the first media playing element. The first computing device can select the first media playing element based on the received one or more messages, and control how the first media playing element plays the referenced piece of content utilizing the one or more commands.

Abstract: A system for controlling playback of various types of content includes a first computing device that provides a unique identifier to a second computing device to establish an association there between. By virtue of the established association, the second computing device can send one or more messages to the first computing device, the one or more messages referencing a piece of content associated with a first media playing element of a plurality of media playing elements, and one or more commands corresponding to the first media playing element. The first computing device can select the first media playing element based on the received one or more messages, and control how the first media playing element plays the referenced piece of content utilizing the one or more commands.

Abstract: Embodiments of the disclosure provide methods, systems, computer program products for manipulating a table with an XML column in database. According to the method, a SQL statement for a table is received first, wherein the table comprises an XML column which is a representation of a plurality of logical columns of the table, there is at least one XML element in at least one row and in the XML column of the table, and each of the at least one XML element corresponds to a non-null value in a specific row and in a logical column of the plurality of logical columns of the table. Then the SQL statement is parsed. And then the SQL statement is transformed into a hybrid statement being able to process the XML column in response to the parsing result indicating that the SQL statement relates to at least one logical column of the plurality of logical columns. At last the hybrid statement is executed.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives a query identifying a set of data to be processed and a manner of processing the set of data. The data intake and query system uses a search node catalog to identify search nodes that are available to execute the query and uses a bucket catalog to identify buckets to be searched. The data intake and query system executes the query using the identified bucket and search nodes.

Abstract: An example method includes determining a point from a data set closest to a particular data point using a particular metric and scoring a particular data point based on whether the closest point shares a similar characteristic, selecting a subset of metrics based on the metric score to generate a subset of metrics, evaluating a metric-lens combination by calculating a metric-lens score based on entropy of shared characteristics across subspaces of a reference map generated by the metric-lens combination, selecting a metric-lens combination based on the metric-lens score, generating topological representations using the received data set, associating each node with at least one shared characteristic based on member data points of that particular node sharing the shared characteristic, scoring groups within each topological representation based on entropy, scoring topological representation based on the group scores, and providing a visualization of at least one topological representation based on the graph sco

Abstract: Prediction logic analyzes previous data usage activities of a customer process running on a host machine to generate a first prediction indicating that the customer process will request a first data set at a first time. The prediction logic retrieves the first data set from long-term storage and loads the first data set into memory on the host machine in advance of the first time in order to provide the customer process with access to first data set in the memory during a period between the first time and a second time. The prediction logic further generates a second prediction indicating that the customer process will not access the first data set for a threshold period of time after the second time and stores the first data set in the long-term storage at the second time.

Abstract: One example method includes receiving a query that recites a particular question for which a user who originated the query needs an answer, parsing the query to identify the question, identifying information that is responsive to the question, presenting the information to the user in a user-selectable form, and receiving, from the user, a selection of the information. In some cases, the information presented to the user may include one or more datasets, or one or more pipelines.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems determine a user state based on received information. Embodiments of the present invention can, in response to determining a user state reaching a threshold value, perform an ameliorative action.

Abstract: An information processing apparatus outputs answer information corresponding to inquiry information that is input. The information processing apparatus includes a memory and circuitry. The memory is configured to store a plurality of databases each having at least a first field and a second field. The circuitry is configured to: perform morphological analysis on the inquiry information, to divide the inquiry information into morphemes; perform a first matching process based on the morphemes and the first field of each of the plurality of databases, to determine whether to adopt the database as an extraction source from which the answer information is to be extracted; and perform a second matching process based on the morphemes and the first field of the database, which is determined to be adopted as the extraction source, to output, as the answer information, data in the second field corresponding to data in the first field.

Abstract: A computer-implemented method includes: receiving, by a computing device, text extracted from a webpage in a browser and a Uniform Resource Locator (URL) of a linked webpage associated with the text; generating, by the computing device, questions based on the text; retrieving, by the computing device, content of the linked webpage using the URL; generating, by the computing device, answers to the questions using the retrieved content; and returning, by the computing device, the questions and the answers to the browser such that the browser displays the questions and the answers in the webpage.

Abstract: Provided are a computer program product, system, and method for deleted data restoration in accordance with one embodiment of the present description, in which in response to a search request having specified search parameters, data of a deleted data unit is located as a function of specified search parameters. In addition, metadata erased as a result of the deletion operation, is restored as a function of the located data. Accordingly, the previously deleted data unit is undeleted and access to the previously deleted data unit is restored via the restored metadata. Other aspects of deleted data restoration in accordance with the present description are described.

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

Abstract: Automatic keyphrase labeling and machine learning training may include a processor extracting a plurality of keywords from at least one search query that resulted in a selection of a document appearing in a search result. For each of the plurality of keywords, the processor may determine a probability that the keyword describes the document. The processor may generate one or more keyphrases by performing processing including selecting each of the plurality of keywords having a probability greater than a predetermined threshold value for insertion into at least one of the one or more keyphrases and assembling the one or more keyphrases from the selected plurality of keywords. The processor may label the document with the keyphrase.

Abstract: The system is configured to create a generalized document automation framework that captures relevant data from documents based upon replicating historical human actions associated with a document. The system may use machine vision and natural language processing to match a new document to a document that was already human extracted in an existing corpus. This is accomplished by comparing both visual elements and textual elements. This match can be verified by statistical approaches by comparing the match metrics across multiple documents. After the match has been found and verified, the system then uses the historical extractions from the historical document and maps the extractions to similar regions in the new document based upon again both visual and text commonalities between documents. Data is then extracted from these regions of interest in the new document, sanity checked for data integrity against historical data, and then passed downstream for processing.

Abstract: A request to send a file is received. A file type for the file is identified. For example, the file type may a Joint Photographic Experts Group (JPEG) file or a Portable Document Format (PDF) file. In response to receiving the request to send the file and identifying the file type for the file, a format of the file is reordered. Reordering the format of the file is based on an application and/or an application type that will be receiving the file. For example, the application may be an Adobe Acrobat® reader that is receiving a PDF file that has been reordered for more efficient reading.

Abstract: There is a need to automatically provide one or more electronic documents to the user. In one example, embodiments comprise, generating a facility visit data object for a user describing one or more facility attributes for one or more facilities associated with a potential visit from the user. One or more electronic documents may be determined to be retrieved based at least in part on the facility visit data object. One or more user interaction electronic document data objects may be generated to enable interaction between the user and the one or more electronic document data objects. One or more modified user interaction electronic document data objects may be received and may be provided to one or more facility computing entities in response to one or more trigger events.

Abstract: An apparatus for updating a user profile based on a user file is included. Apparatus may include a processor and a memory communicatively connected to processor. Memory may contain instructions configuring processor to identify a plurality of profile sections in a user profile comprising a profile content; receive a user file; parse document content in user file by identifying a plurality of document sections in user file, categorizing a first document section of plurality of document sections of user file, identifying at least a document subsection of first document section, and categorizing document content in a first document subsection of at least a document subsection; and insert document content in at least one of the plurality of profile sections based on categorization of first document section and categorization of first document subsection.

Abstract: Methods, systems, devices and/or apparatus related to finding and sharing information on a large-scale or global computer network such as the Internet, and, specifically, to allow for collaboratively searching for, organizing and/or accessing information.

Abstract: A computing device hosting a website of a business may be operable to receive a first search input comprising a term submitted via a search bar on the website. Upon performing an internal search for the term with no result, the computing device may output information on the no-result. The computing device may then perform, using one or more external search engines, a search for the term. Search results of the search, performed using the external search engine(s), may be analyzed. Based on a result of the analysis, one or more particular character strings related to the term may be identified. The computing device may generate and store, based on the identifying of the particular character string(s), one or more alternative search suggestions. Upon subsequently receiving an input comprising at least a portion of the term entered in the search bar, the computing device may output the alternative search suggestion(s).

Abstract: A method may include receiving, at a search engine, an indication that a first data object was created. The search engine may fetch metadata associated with the first data object, the metadata including a description of the first data object and a binding expression including relational information between the first data object and at least one other data object. The search engine may add data from the at least one other data object to the first data object. The search engine may store the metadata and the first data object in an index of the search engine, the index associated with the first data object. The search engine may receive a search phrase. The search engine may generate a search result that includes the relational information retrieved from the index. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: An improved search engine is disclosed. The search engine receives search queries from client devices and inputs these queries into a first neural network (an action understanding model) that includes an action embedding layer. The action embedding layer can be a word embedding layer constructed using action terms. The action understanding model outputs a filter match associated with a type of filter and, in some scenarios, an action-condition pair. The action-condition pair includes an action associated with the type of filter and a condition comprising an adaptive value associated with the action. Based on the filter and, if present, action-condition pair(s), the embodiments generate a structured query and issue the structured query to a data repository (e.g., database). The search engine then returns a search results page responsive to the search query that includes the results returned by the data repository in response to the structured query.

Abstract: Provided are a method and device for providing an integrated search service. The method may include: determining a search word based on a text string, determining a common graphical user interface (GUI) template based on the search word, obtaining a plurality of search results retrieved based on the search word, categorizing the plurality of search results into a plurality of search result groups including a first search result group and a second search result group, displaying the common GUI template on a first region of a display among a plurality of regions of the display, and displaying summary information of the search results included in the first search result group and summary information of the search results included in the second search result group in the common GUI template displayed on the first region of the display.

Abstract: Systems and methods for ranking a feed in a social network. The systems and methods include operations for displaying a feed includes identifying a group of users associated with a first user, identifying a plurality of content generated by one or more of the group of users, determining one or more actions that may result when each of the plurality of content is presented to the first user, ranking the content based on the one or more determined actions, and displaying the content to the first user according to the ranking.

Abstract: A computer-implemented method may include: providing an extension for a web browser, the extension having a user interface configured to occupy a portion of a user interface associated with the web browser; intercepting content fetched by the web browser for a web page being a company page, a social media page, or a professional page; processing the fetched content for the web page to extract information including: a company name, a candidate name, a job title, and/or an industry name; querying a database for contextual information based on the extracted information, the contextual information being a summary of information obtained from one or more sources other than the web page; and presenting, via the user interface, the contextual information including: company information based on the company name, candidate information based on the candidate name, job title information based on the job title, and/or industry information based on the industry name.

Abstract: Various embodiments of a deep learning (DL)-based face perception engine for constructing, providing, and applying a highly-personalized face perception model for an individual through a deep learning process are disclosed. In some embodiments, a disclosed face perception engine includes a deep neural network configured for training a personalized face perception model for a unique individual based on a standard set of training images and a corresponding set of decisions on the set of training images provided by the unique individual. When sufficiently trained using the standard set of training images and the corresponding set of decisions, the personalized face perception model for the unique individual perceives a new face photo/image as if through the eyes of that unique individual.

Abstract: A system and method is provided that automatically predicts the link that a user would like to follow by collecting and modeling user actions, and navigates to the link. In one aspect, the system may store a history of the user's manipulation of a browser's user interface, and predict the link of greatest interest to the user by comparing the visual similarity of potential links with previously selected and non-selected links, and estimating the location of the screen that the user is currently viewing.

Abstract: Systems and methods for enhancing the functionality of client communication devices that may execute supported applications and are communicatively tied to the Internet are described. An automated procedure for generating new skills first finds forms on the Internet that require user interaction, then generates skills to support those interactions, and then uploads the new skills into a skills database. The skills acquired can make it easier for users to engage with associated web resources in the future, making it possible to support interactions that are partially or entirely speech-based.

Abstract: An industrial information identification and retrieval system includes: a crawler; a search engine; a result processor; and a web user interface “web UL” The crawler identifies devices and their associated Open Platform Communication Unified Architecture “OPC UA” servers within a network as identified OPC UA servers. The crawler browses the identified OPC UA servers and extracts and stores data items in a database as extracted data items. The search engine searches the extracted data items and provides search results to the result processor. The result processor determines a score for each search result. The web UI presents the search results according to the scores.

Abstract: A label printing module can be configured to perform at least two actions in response to a request to create a label for an item. The label printing module can create a print job that will produce a physical label for the item. In addition, the label printing module can cause a digital label to be created and stored in a digital label database, which can be accessible via the Internet. The digital label can include an identifier that is uniquely associated with the item to which the physical label corresponds. The digital label can be associated with an Internet address. The Internet address of the digital label can be included in a machine-readable object on the corresponding printed physical label. Someone who has the item corresponding to the printed physical label can view informational content within the corresponding digital label by using a reader to read the machine-readable object.

Abstract: Systems and methods for automatically associating content characteristics to a third-party content are provided. A uniform resource locator identifying a resource is received from a content provider. The content is rendered to produce an object tree. A first node of the object tree is determined, where the first node represents a content slot. A second node of the object tree proximate to the first node is identified. The second node has a content characteristic, which is extracted. The extracted content characteristic is associated with the first node and stored.

Abstract: A computer-implemented method, computer program product and computing system for normalizing descriptors within a master website dataset; comparing descriptors within a subordinate website dataset to descriptors within the master website dataset to define a similarity score for each descriptor within subordinate website dataset; and normalizing one or more descriptors of the subordinate website dataset if the similarity score is above a similarity threshold.

Abstract: A website building system (WBS) includes a processor implementing a machine learning feedback-based proposal module and a database storing at least the websites of a plurality of users of the WBS, and components of the websites. The module includes a plurality of per activity AI units and a feedback system. Each per activity AI unit supports one or more specific activity related to the WBS and provides at least one system suggestion to the users related to its specific activity. Each per activity AI unit includes at least one machine learning model suitable for the activity supported by its per activity AI unit. The feedback system provides a plurality of different kinds of feedback from the users for updating the machine learning models. The feedback system analyzes the feedback to determine which one of the at least one machine learning models to update.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing a sequence to sequence model that is recurrent in depth while employing self-attention to combine information from different parts of sequences.

Abstract: A method for performing a matrix multiplication operation is provided. The method includes: obtaining a matrix B1, a matrix A2, and an index matrix, wherein the index matrix comprises indexes, in a matrix A1, of elements in the matrix A2; generating m matrices B2 based on the index matrix and the matrix B1, wherein the m matrices B2 are all matrices with t rows and n columns, and each row of each matrix B2 is a row indicated in the matrix B1 by a corresponding element in the index matrix; and generating a matrix C based on the matrix A2 and the m matrices B2, wherein the matrix C is a product of the matrix A1 and the matrix B1.

Abstract: According to an embodiment of the present invention, an approach accurately detects anomalies or outliers of a time-series dataset. A method for identifying whether a particular data element of the time-series dataset is an outlier comprises predicting a value for that particular data element and obtaining a threshold value that defines, relative to the predicted value, whether an actual value of the data element is an outlier. In an aspect of a present invention embodiment, the threshold value is generated based on historic error values associated with data elements temporally preceding the particular data element of the time-series dataset.