Abstract: A method for processing one or more electronic documents for enhanced search includes defining a bounding box around each key and value of key-value pairs in a first schema file, tagging coordinates of a key corresponding to a first bounding box and coordinates of a value corresponding to a second bounding box in the first schema file. Furthermore, obtaining a first inference file, detecting coordinates of a key corresponding to a third bounding box, and determining coordinates of a fourth bounding box and the value of the first inference file that are determined by applying a normalization operation. Thereafter, extracting value encompassed by the fourth bounding box of the first inference file and automatically creating a searchable index of the first inference file with searchable key-value pairs. The method achieves an efficient and accurate clustering of data items with an accurate, meaningful, and formal objective function.

Abstract: Systems and methods are provided for automatically determining an intent of a user based on an intent model to attach a file to a document, prompting the user to confirm the intent using a predetermined character in an inline nudge, generating and displaying an inline menu with an interactive list of ranked files as a suggestion for attachment. The disclosed technology uses the intent for specifying a scope of the inline search. The intent model for attaching content maintained by third-party applications uses a combination of an embeddings model and an N-gram model with limited seed queries and determines the intent based on intent scores associated with respective third-party applications. The present disclosure ranks respective candidate content based on a degree of relevance to the intent. The user selects one or more content from the list for attaching to the document.

Abstract: A method of managing interaction recordings of an interaction between agent devices and customer devices, the method comprising: initiating an interaction recording of the interaction between an agent device and a customer device, wherein the interaction recording comprises metadata items; storing one or more parts of the interaction recording in a local storage; identifying parts of the interaction recording whose metadata items fulfill archiving criteria; and archiving parts of the interaction recording stored in the local storage whose metadata items fulfill the archiving criteria and deleting parts of the interaction recording from the local storage whose metadata items do not fulfill the archiving criteria.

Abstract: A method of controlling an electronic device includes, based on obtaining first text information corresponding to a user query, identifying a main query corresponding to the first text information; obtaining a plurality of responses related to the main query; identifying a plurality of phrases included in the first text information; identifying at least one first phrase corresponding to the main query among the plurality of phrases based on a similarity between the plurality of phrases and the main query; identifying, among the plurality of responses, at least one first response corresponding to a remaining second phrase, among the plurality of phrases except the at least one first phrase, based on a similarity between each of the plurality of responses and the remaining second phrase; and providing second text information corresponding to a remaining second response other than the at least one first response among the plurality of responses.

Abstract: A method for checking a processing of payload data. The method includes: ascertaining, for each one of multiple sequences of data processing blocks, reference result data that result when predetermined meta data are processed by the sequence of the data processing blocks; receiving payload data result data and meta data result data for a data processing of the payload data and of the meta data; checking whether the meta data result data for at least one sequence of the sequences admissible for the data processing of the payload data agree with reference result data ascertained for the sequence; and triggering a safety measure if the meta data result data for no sequence of the sequences admissible for the data processing agree with the reference result data ascertained for the sequence.

Abstract: A computer-implemented method including determining whether a query is part of a conversation having a chat history before the query. When the query is part of the conversation, the method can include rephrasing the query, using a first large language model (LLM), based on context from the chat history. The method also can include determining, using a second LLM, whether or not the query is related to accommodations or disabilities. When the query is related to accommodations or disabilities, the method further can include determining one or more accommodations responsive to the query using a third LLM; and formulating a response to the query using a fourth LLM based on the one or more accommodations. Other embodiments are described.

Abstract: A method, apparatus, device, and storage medium for expanding data are disclosed. The method includes: acquiring a triplet from a knowledge graph; mining a relationship path equivalent to a relationship in the triplet from the knowledge graph, a subject in the triplet being used as a start point of the relationship path, and an object in the triplet being used as an end point of the relationship path; and expanding the triplet based on the relationship path to generate an expanded triplet. This implementation expands the triplet in the knowledge graph, and strengthens the association between the subject and the object in the triplet in a larger context, such that the association between the subject and the object in the triplet is more global.

Abstract: The present disclosure is generally related to systems and methods of interfacing among multiple applications in a networked computer environment. A data processing system can access a navigation application to retrieve point locations within a reference frame corresponding to a geographic region displayed in a viewport of the navigation application. Each point location can have an identifier. The data processing system can parse an input audio signal to identify a request and a referential word. The data processing system can identify a point location within the reference frame based on the referential word parsed from the input audio signal and the identifier for the point location. The data processing system can generate an action data structure including the point location identified. The data processing system can transmit the action data structure to the navigation application to initiate a navigation guidance process using the point location.

Abstract: A photograph sharing system is described. The photograph sharing system allows for contributors to upload photographs of an event. Contributors or other application users may select an uploaded photograph in a desired section and digitally zoom in on a desired individual in that section and then download the zoomed in photograph.

Abstract: Implementations relate to providing information items for display during a communication session. In some implementations, a computer-implemented method includes receiving, during a communication session between a first computing device and a second computing device, first media content from the communication session. The method further includes determining a first information item for display in the communication session based at least in part on the first media content. The method further includes sending a first command to at least one of the first computing device and the second computing device to display the first information item.

Abstract: Methods and apparatus related to determining and/or utilizing one or more attributes for an Internet Protocol (IP) address and/or other source identifier(s). In some implementations, the attributes may include a physical address and/or email address associated with the source identifier(s). Some implementations are directed to determining physical addresses for inclusion in a postal campaign and/or determining email addresses for inclusion in an email campaign. In some of those implementations, the physical addresses and/or email addresses are determined based on computing devices having source identifiers associated with those addresses having submitted searches with search content assigned to the campaign.

Abstract: Disclosed herein is a method implemented by a task mining engine. The task mining engine is stored as processor executable code on a memory. The processor executable code is executed by a processor that is communicatively coupled to the memory. The method includes receiving recorded tasks identifying user activity with respect to a computing environment and clustering the recorded user tasks into steps by processing and scoring each recorded user task. The method also includes extracting step sequences that identify similar combinations or repeated combinations of the steps to mimic the user activity.

Abstract: Materialized views may be generated at a managed materialized view platform that accepts data streams as a source. When updating a materialized view with a data stream as a source, a stored portion of the stream is used to maintain a history of changes to be made. When a join operation needs to utilize the data stream source to determine an update to the materialized view, the data stream is preserved to complete the join and update the materialized view.

Abstract: Systems, methods and apparatus are provided for AI-based generation of data warehouse quality protocols. An attribute classifier may quantify relationships between source data and target data from an enterprise data warehouse. A data quality engine may apply these relationships to identify specific data quality concerns and generate customized data quality metrics.

Abstract: A method comprises receiving an input of at least one image associated with an issue. In the method, text is extracted from the at least one image, and an intent is determined from the extracted text. The method further includes recommending a response to the issue based at least in part on the determined intent, and transmitting the recommended response to a user. The extracting, determining and recommending are performed at least in part using one or more machine learning models.

Abstract: In one embodiment, a method includes accessing a current-visitor context of a current visitor to a web page in a current web-browsing session. The current-visitor context includes one or more data associated with or concerning the current visitor. The method includes selecting based on the current-visitor context a particular one of multiple possible instances of the web page for presentation to the current visitor. The particular one of the multiple possible instances of the web page is substantially most likely to generate a highest expected outcome from interaction with the web page by the current visitor as indicated by the current-visitor context.

Abstract: A device searches for an anonymization of a data set using a heuristic search. The device receives a generalization lattice and one or more scoring functions. The device further can include selecting a start node in the generalization lattice. For each of the one or more scoring functions, the device can further include computing a path the generalization lattice from the start node that traverses the generalization lattice. In addition, the device can include determining an optimal path node from each of the one or more paths. Furthermore, the method can include selecting an optimal node from the one or more optimal path nodes.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for accessing a relational database using requests that conform to a non-structure query language syntax. In one aspect, a method includes receiving, from a client, a first access request that conforms to a NoSQL syntax for accessing a wide column store, wherein the first access request comprises a first event feature and a first attribute feature that are related to the wide column store, and the first attribute feature comprises a column family feature of the wide column store; translating the first access request into a second access request that conforms to a SQL syntax, wherein the second access request comprises a second event feature corresponding to the first event feature and a second attribute feature corresponding to the first attribute feature; and forwarding the second access request to a relational database.

Abstract: Method and systems for preparing and analyzing a DNA sample from a subject are provided herein. Also provided are methods and systems for obtaining, analyzing, and manipulating genomic and proteomic sequence data. In particular, methods and systems provided herein involve transformation of raw genetic or proteomic sequence into a compressed data set and transmission of the compressed data set using a fixed binary encoding scheme capable of compressing the data by up to 75%. An interface is in communication with the compression module and configured to display transmitted genomic and proteomic sequence data.

Abstract: The technology disclosed herein enables an absent participant to participate in a communication session. In a particular embodiment, a method includes identifying a meeting for an automated attendee to attend on behalf of a user. At a time for the meeting, the method includes joining the automated attendee to a communication session for the meeting. In the automated attendee, the method provides monitoring, in real-time, user communications exchanged between two or more other users over the communication session. During the monitoring, upon identifying a portion of the user communications that is relevant to the user, the method provides notifying the user about the portion.

Abstract: An example apparatus for visual question answering includes a receiver to receive an input image and a question. The apparatus also includes an encoder to encode the input image and the question into a query representation including visual attention features. The apparatus includes a knowledge spotter to retrieve a knowledge entry from a visual knowledge base pre-built on a set of question-answer pairs. The apparatus further includes a joint embedder to jointly embed the visual attention features and the knowledge entry to generate visual-knowledge features. The apparatus also further includes an answer generator to generate an answer based on the query representation and the visual-knowledge features.

Abstract: A method of configuring a search engine to classify a search query includes receiving a search query data set, the search query data set comprising a plurality of search queries, defining a first set of candidate labels and a second set of candidate labels according to the search queries in the search query data set, concatenating the first set of candidate labels with the second set of candidate labels to generate a concatenated candidate label set, generating a compatibility matrix comprising a similarity between the concatenated candidate label set and the search query data set, and training a classification network according to the compatibility matrix.

Abstract: There are provided an information suggestion system, an information suggestion method, a program, and a recording medium capable of suggesting, to a user, information on a product matching a hobby and the preference of the user from an image group of the user. In the information suggestion system, the information suggestion method, the program, and the recording medium, an image group acquisition unit acquires an image group of a user, and an image analysis unit detects an attribute of each image. An imaging number count unit counts an imaging number of same-attribute images, and an imaging frequency calculation unit calculates an imaging frequency of the same-attribute images. An imaging purpose estimation unit estimates an imaging purpose of the same-attribute images.

Abstract: A data processing system which includes a data management system located in a first network, the data management system providing operations for modifying data stored by the first data management system, and a natural language processing system for processing natural language messages. The natural language processing system is located outside the first network. The system further comprises an interface application having access to the data management system adapted to: receive one or more natural language messages from a user; forward the natural language messages to the natural language processing system; receive an invocation message from the natural language processing system, the invocation message comprising operation data defining an operation to be performed at the data management system, the operation identified by the natural language processing system based on the natural language messages; and invoke the operation at the data management system based on the operation data.

Abstract: Systems and methods include extraction of a plurality of clauses from each of a plurality of electronic documents, determination, for each of the plurality of clauses and using a machine-learned algorithm, an associated clause type, identification of one or more data privacy protection entities present within each of one or more of the plurality of clauses, determination, for each of the one or more of the plurality of clauses, of a weighted frequency for each of the one or more data privacy protection entities present within the clause based on a type of the data privacy protection entity, determination of a weighted frequency associated with each of the plurality of electronic documents based on the determined weighted frequency for each of the one or more data privacy protection entities present within clauses of the plurality of electronic documents, and storage of an identifier of each of the plurality of electronic documents in association with a respective determined weighted frequency.

Abstract: In various example embodiments, a system and method for computing a query feature score that can be used by a machine learning algorithm to rank search results is described. A query is received. The assigned probabilities for the arbitrary query is retrieved. The assigned probabilities is based on a probability model for a query feature. A score is computed for the query feature based on the assigned probabilities for the arbitrary query.

Abstract: The image forming apparatus according to the present disclosures is configured to transmit, to a file server, an acquisition request for an updating data file at a time different from an access time, which is indicated by access time information of a setting file, by a particular time and update a content of the setting file by the acquired updating data file.

Abstract: Systems and methods may be used to generate and use intent predictions to enhance user experience. The intent predictions may describe the data required to resolve a user request included in a user input (e.g., question, search query, and the like) submitted by a user. The intent predictions may be generated using a machine learning model that comprises a model framework for extracting features and classifying user inputs into intent classes based on the extracted features. The intent predictions may be integrated into an information service to improve business metrics including contact rate, transfer rate, helpful rate, and net total promoter score.

Abstract: A method is provided, including: processing interactions by a plurality of users with a plurality of content items, the content items being provided over a network in response to user requests received over the network, wherein each content item is associated with one or more entities; for each user, determining a user entity set that includes entities associated with content items with which the user interacted; embedding the users and the entities in a vector space, wherein the embedding is configured to place a given user, and the entities of the given user's user entity set, in proximity to each other in the vector space; for each user, performing a proximity search in the vector space to identify a set of nearest entities to the user in the vector space; for each user, generating a user profile using the identified set of nearest entities to the user.

Abstract: A method for fitness assistance to a user in a conversation session, comprising: receiving, in the conversation session, at least one message, wherein the conversation session is between the user and an electronic conversational agent (1210); updating, based on the conversation session and one or more factors associated with the at least one message, a fitness intention associated with the user (1220); extracting, based on one or more factors associated with the at least one message, fitness information associated with the user (1230); obtaining at least one response, through applying a set of rules on the fitness information and the fitness intention (1240); generating, according to the at least one response, a response message including a fitness suggestion to the user (1250); and providing the response message including the fitness suggestion to the user (1260).

Abstract: A method includes generating style values and experiential language tags (ELTs) for a plurality of books based on retrieved book content and reader reviews, respectively. The method further includes generating an ELT prediction model based on the style values and the ELTs. The ELT prediction model is configured to receive a set of style values for a new book and output a set of predicted ELTs for the new book, the set of predicted ELTs indicating predicted reader experiences with the new book. The method further includes receiving user-submitted book content from a remote user device, determining style values for the user-submitted book content, and determining a list of predicted ELTs for the user-submitted book content using the style values for the user-submitted book content and the ELT prediction model. Additionally, the method includes transmitting, to the user device, the list of predicted ELTs for the user-submitted book content.

Abstract: Concepts and technologies disclosed herein are directed to automated control loop searching (“ACLS”). According to one aspect disclosed herein, an ACLS system can create a search model that provides high-level information regarding what the ACLS system should search for when a search pattern is detected within data that is output from execution of a control loop. The ACLS system can activate a control loop system that executes the control loop to yield the data as output. The ACLS system can detect the search pattern within data, and in response, the ACLS system can execute, based upon the search model, a search of the data. The ACLS system can collect search results of the search and select additional data from the search results.

Abstract: Techniques for context-based keyword grouping for business rule mining are described herein. An aspect includes determining, based on a first corpus, a first list of keywords. Another aspect includes constructing a co-occurrence matrix based on the first list of keywords. Another aspect includes applying a clustering algorithm to the co-occurrence matrix to determine a first plurality of keyword groups. Another aspect includes presenting the first plurality of keyword groups to a user via a user interface.

Abstract: The embodiment of the present disclosure provides an image identification system and an image identification method, and relates to the field of identification technology for improving the classification accuracy of the existing image classification model.

Abstract: Quasi-identifiers (QIDs) are detected in a dataset using a set of computing tasks. The dataset has a plurality of records and a set of attributes. An index is generated for the dataset. The index has an indicator for each attribute value of each record in the dataset. Each indicator specifies all the records in the dataset having the same value for the attribute. Each task is assigned an attribute combination and a subset of the plurality of records in the dataset and is passed to a thread for execution on computing resources. The executing task inspects the set of records specified by the index indicator for each attribute value in the attribute combination to produce a result. The result of at least one task identifies a unique record for the associated attribute combination. The attribute combination producing the unique record is a QID.

Abstract: A method and method for natural language generation employ a natural language generation model which has been trained to assign an utterance label to a new text sequence, based on features extracted from the text sequence, such as parts-of-speech. The model assigns an utterance label to the new text sequence, based on the extracted features. The utterance label is used to guide the generation of a natural language utterance, such as a question, from the new text sequence. The system and method find application in dialog systems for generating utterances, to be sent to a user, from brief descriptions of problems or solutions in a knowledge base.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing contextual information to a user. In one aspect, a method includes receiving, from a user device, a query-independent request for contextual information relevant to an active resource displayed in an application environment on the user device, generating multiple queries from displayed content from the resource, determining a quality score for each of the multiple queries, selecting one or more of the multiple queries based on their respective quality scores, and providing, to the user device for each of the selected one or more queries, a respective user interface element for display with the active resource, wherein each user interface element includes contextual information regarding the respective query and includes the respective query.

Abstract: This disclosure relates generally to data analytics, and more particularly to a system and method for data analytics. The method includes accessing and processing sample data associated with a task to obtain a processed sample data set comprising additional columns than columns in the source data. During processing, metadata corresponding to the additional columns of the processed sample data set is dynamically captured. A plurality of data mining models are iteratively executed using the processed sample data set and the metadata. Said data mining models are obtained by varying variables and versions of a set of data mining models stored in a model repository to obtain a metrics corresponding to the plurality of data mining models. The metrics are indicative of performance of the data mining models. A data mining model is selected from amongst the plurality of data mining models based on the metrics to perform data analytics.

Abstract: A system and method for visualizing, exploring and shaping conversational data within a corpus for selective export to train an artificial intelligence-based interlocutor platform, which includes selecting, according to user inputs, a plurality of the conversations for generation of an interactive radial space-filling sunburst-style diagram; responsive to user navigation controls, revising the sunburst diagram to allow provide selection, filtering and modification of the of the text-based interlocutory conversations; and, according to user export controls, formatting and saving at least a portion of the selected and filtered plurality of text-based interlocutory conversations into training data for an artificial intelligence-based automated interlocutor platform.

Abstract: There is provided systems and method for generating sale transaction from voice data input by a user. A user device may receive voice data including a preference for purchasing an item. The user device may convert the voice data to the preferences and perform a search for a sales transaction corresponding to the preferences. The search may include parameters about the user, such as a location. The sales transaction may include purchase prices, times, locations, or other relevant data. A user may accept or decline the sales transaction with additional user data. If the user accepts the sales transaction, the sales transaction may be completed with a payment provider and a transaction history given to the user for later redemption of the item. If the user declines the sales transaction, further sale transactions with additional items may be present to the user.

Abstract: A method of generating digital data content customized for a user of one or more digital data platforms includes determining, through artificial intelligence, interests of a first user of the one or more digital data platforms, as well as those of a plurality of other users. The method further includes generating a product recommendation for the first user by mapping and filtering, e.g., using ontological filtering, natural language processing and/or semantics, the interests determined for the plurality of other users to the interests determined for the first user, and transferring the product recommendation, along with inventory availability, to a client digital data device for presentation to the first user.

Abstract: A technique for providing search results may include determining a first entity type, a second entity type, and a relationship type based on a compositional query. The technique may also include identifying nodes of a knowledge graph corresponding to entity references of the first entity type and entity references of the second entity type. The technique may also include determining from the knowledge graph an attribute value corresponding to the relationship type for each entity reference of the first entity type and for each entity reference of the second entity type. The technique may also include comparing the attribute value of each entity reference of the first entity type with the attribute value of each entity reference of the second entity type. The technique may also include determining one or more resultant entity references from the entity references of the first entity type based on the comparing.

Abstract: One embodiment provides a method for augmenting missing values in historical or market data for deals. The method comprises receiving information relating to a set of deals. For any service included in one or more deals of the set of deals but not included in one or more other deals of the set of deals, the method further comprises augmenting, for any or all of the one or more other deals that does not include the service, one or more missing values for the service with one or more recommended values based on a recommendation algorithm. The service may be at any service level of a hierarchy of services.

Abstract: A system and method for operating the same includes a language processing module generating a search request text signal and determining identified data from the search request text signal. A search module generates search results in response to the search request text signal. A dialog manager classifies the search request text signal into a response classification associated with a plurality of templates, selects a first template from the plurality of templates in response to the response classification and corrects search results in response to the identified data and the template to form a corrected response signal. A device receives and displays the corrected response signal.

Abstract: Aspects of the disclosure relate to searching a dual database graph. The dual database graph is resident on a dual database graph platform. The platform includes two or more nodes interconnected by one or more edges. The graph database stores graph data corresponding to the graph(s) and a relational database for storing metadata corresponding to the graph(s). The method includes receiving as input a search criterion. The search criterion may include a plurality of data points corresponding to a relational database node profile or a relational database subgraph profile. The platform may search the relational database for a subset of graphs that each includes a relational database node or a relational database subgraph that matches the node profile or subgraph profile of the search criterion. The platform may then retrieve a relational database node or a relational database subgraph that matches the node profile or subgraph profile.

Abstract: A technique utilizes a search query having a set of clauses. The technique involves displaying, by a processor, the set of clauses of the search query onto an electronic display. Each clause includes a selection cell describing a selectable operation. The technique further involves receiving, by the processor, a mouse click input from a mouse apparatus. The mouse click input includes coordinates identifying a location that resides within the selection cell of a particular clause. The technique further involves change, by the processor, the selectable operation described by the selection cell of the particular clause between an editing operation and a Boolean operation in response to the mouse click input. Such a technique minimizes user typing and navigation demands, and offers a compact format and considerable power and flexibility when constructing and/or editing a search query.

Abstract: A system includes a knowledge canvassing system executed by a computer, a processor, and a memory coupled to the processor. The memory is encoded with instructions that when executed cause the processor to provide a training system configured to generate benchmark data, each benchmark datum including a set of one or more benchmark input entities and a set of one or more benchmark output entities associated with the one or more benchmark input entities, query the knowledge canvassing system with each set of benchmark input entities, receive, for each set of benchmark input entities queried, an output result from the knowledge canvassing system that includes a set of zero or more knowledge canvassing system output entities, and generate an evaluation score for each set of knowledge canvassing system output entities based on a comparison of the knowledge canvassing system output entities with the set of benchmark output entities.

Abstract: A System Solution automatically generates a set of Native and Non-Native Application Clients which include updating functionality capable of generating update commands to instruct the System Solution to generate an updated set of Native and Non-Native Application Clients. Using the generated Application Clients, an employee of a Business Entity coupled with the System Solution instructs the System Solution to create a new updated set of Native and Non-Native Application Clients that are automatically downloaded to devices used by the customers of the Business Entity. The System Solution also automatically generates an Update Command Dictionary which, when downloaded to a Manager Client Device, allows an employee of the Business Entity to use a General Third Party Application, such as a SMS, email, or messaging application commonly available on a mobile device, to generate update commands to instruct the System Solution to generate an updated set of Native and Non-Native Application Clients.

Abstract: In one embodiment, a method includes accessing a query vector; accessing object vectors; determining input distances corresponding to a distance between the query vector and the object vectors; accessing thread queues; accessing a warp queue; for each of the input distance values: selecting one of the thread queues, when the input distance value is less than a greatest one of the distance values stored in the selected thread queue, inserting the input distance value into the thread queues and ejecting the greatest distance values stored in the thread queue, and when a greatest distance value stored in any of the thread queues is less than a greatest distance value stored in the warp queue, merging the thread queue with the warp queue; identifying the objects represented by an object vector corresponding to the distance values stored in the warp queue; and providing the search results for presentation.

Abstract: A computer system stores digital media content such as images and video along with associated tags and timestamps. The system detects trends in the media content by semantic analysis which includes generation of a temporal tag graph that includes data indicative of a semantic representation of the tags over a plurality of time periods. The data in the tag graph is clustered to generate a set of identified trends reflected by the tags over the plurality of time periods. The set of identified trends is stored in data storage and is available for characterization which includes labeling of the trends, scoring the trends, evaluating changes in the trends over time, and identifying images representative of the detected trends. The temporal tag graph may take the form of a weighted undirected graph where each node in the graph is associated with one of the tags and the edges connecting the nodes represents a temporal correlation between the nodes associated with each edge.