Abstract: An interface information processing method and apparatus, a storage medium, and a device are provided. The method includes: displaying, based on a trigger operation on a floating translation component in a first display interface, a trigger progress in the floating translation component, the first display interface including a character of a first language type, the trigger progress being associated with trigger duration, and the trigger duration being a duration of the trigger operation on the floating translation component; and switching the first display interface to a second display interface based on the trigger progress in the floating translation component satisfying a full-screen translation start progress, the second display interface including a character of a second language type, and the character of the second language type being obtained by translating the character of the first language type.

Abstract: Virtual assistants intelligently emulate a representative of a service provider by providing variable responses to user queries received via the virtual assistants. These variable responses may take the context of a user's query into account both when identifying an intent of a user's query and when identifying an appropriate response to the user's query.

Abstract: A system includes a first multi-port RAM storing an instruction table. The instruction table specifies a regular expression for application to a data stream and a second multi-port RAM configured to store a capture table having capture entries decodable for tracking position information for a sequence of characters matching a capture sub-expression of the regular expression. The system includes a regular expression engine processing the data stream to determine match states by tracking active states for the regular expression and priorities for the active states by storing the active states of the regular expression in a plurality of priority FIFO memories in decreasing priority order. The system includes a capture engine operating in coordination with the regular expression engine to determine character(s) of the data stream that match the capture sub-expression based on the active state being tracked and decoding the capture entries of the capture table.

Abstract: Techniques for providing proximity based messages are discussed herein. Some embodiments may include one or more servers configured to receive proximity message requests from a consumer device. The requests may include consumer device locations, which may be used by the one or more servers to generate a geofence set. Furthermore, the consumer device location may be used as a basis for selecting notification data relevant to the location. Both the geofence set and the notification data may be sent to the consumer device in a single proximity message response for local notification creation if the notification data can be collected within a maximum response time. The notification data may be provided via a push notification server asynchronously if the notification data cannot be collected within the maximum response time.

Abstract: Methods, systems, and devices for property manager are described. A device may transmit a request to access information from a control panel of a property associated with a smart home automation community. The request may include credentials specific to a property management personnel. In response to the transmitted request, the device may retrieve the information from the control panel of the property based in part on an authentication of the credentials. The authentication of the credentials may include receiving, from an additional device of an occupant of the property, an acknowledgement message to the request. Once the information is retrieved from the control panel, the device may generate an account associated with the control panel of the property based in part on the information, where the account grants a level of access to the property management personnel.

Abstract: The present disclosure relates to a baseline monitoring method, apparatus, readable medium, and electronic device. The method includes: determining a plurality of tasks to be monitored in the baseline; determining whether there is a first task to be monitored that has cyclic dependency according to dependencies among the plurality of tasks to be monitored; and determining a task instance to be checked for each of the tasks to be monitored, and for the first task to be monitored that is not a guaranteed task, determining the task instance to be checked for the first task to be monitored according to the cyclic dependency and dependency between the first task to be monitored and its downstream task to be monitored.

Abstract: An apparatus for medical text processing comprises processing circuitry configured to: obtain a trained model, wherein the trained model is trained to classify medical text documents with a medical classification code; apply the trained model to at least one medical text document to obtain weightings for text terms included in the at least one medical text document, wherein the weightings are associated with the medical classification code; and use the weightings to perform a searching or indexing process.

Abstract: A method for reporting asynchronous data and an electronic device are provided. The method includes: in response to satisfying a data reporting condition, calling a connection opening function for opening a Socket connection of a network resource, and generating a HypertextTransferProtocol (HTTP) request by the connection opening function, in which the HTTP request at least includes address information of a server and data to be reported; calling a writing function to write the HTTP request into an exclusive resource corresponding to the connection opening function, and sending the HTTP request to the server by the exclusive resource; and in response to that sending the HTTP request by the exclusive resource is completed, closing the exclusive resource by calling a close function, so as to stop receiving a feedback message of the HTTP request sent by the server, and terminate data reporting.

Abstract: Performing collaborative search engine searching. The method includes receiving user input at a user interface for performing a plurality searches on a first search engine. The method further includes receiving user input at the user interface applying one or more augmentation AI models to searches in the plurality of searches. The method further includes creating a shareable, executable package executable by one or more search engines based on the plurality of searches and the applied AI models that when executed by the search engines causes the search engines to apply the AI models to searches performed at the search engines.

Abstract: An apparatus and method for generating a schema, the apparatus comprising at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to display, at a graphical control interface, a content field window, receive, as a function of the content field window, a criterion element, and generate a schema as a function of the criterion element.

Abstract: Methods, systems, and apparatus, for automatically generating search suggestions based on history data for multiple native application on a user device.

Abstract: Embodiments described include systems and methods of determining one or more links of one or more network applications to access to perform a task is provided. The method can include receiving, by a server, a request from a client application on a client device. The request can identify a name of a task to be performed. The client application can include an embedded browser for accessing one or more network applications. The method can include determining, by the server, one or more links of the one or more network applications hosted on one or more third party servers that are to be used to perform a task identified by the name of the task. The method can include causing, responsive to the request and to perform the task, the embedded browser of the client application on the client device to access the one or more links of the one or more network applications hosted on the one or more third party servers.

Abstract: Embodiments of the invention identify entities stored within or across a number of data stores and identify relationships between the entities. A relationships graph is generated that represents the entities and the identified relationships between entities, the relationships graph comprising nodes in the relationships graph to represent one or more entities and edges between any two nodes in the relationships graph to represent the identified relationships between the one or more entities represented by each of the two nodes. The relationships graph is stored in a graph store. A graph query is received against selected nodes and edges in the graph store. One or more data store queries are generated therefrom, to be executed against respective selected ones of the one or more entities and their respective identified relationships based on the graph query and the graph store. The one or more data store queries are applied to selected one or more of the number of data stores.

Abstract: Various embodiments include a data monitoring system that monitors the operations of a data pipeline. The data monitoring system receives a call from the data pipeline to ingest unprocessed data. The data monitoring system generates metadata based on the unprocessed data and responsively computes expected data outputs. The data monitoring system receives a call from the data pipeline to ingest processed data that comprises actual data outputs generated by the data pipeline. The data monitoring system generates output metadata based on the processed data. The data monitoring system compares the metadata for the expected data outputs with the output metadata for the actual data outputs and determines when the expected data outputs do not align with the actual data outputs. When the expected data outputs do not align with the actual data outputs, the data monitoring system generates and transfers an alert signifying the non-alignment.

Abstract: A method including establishing, by a user device, respective parallel virtual private network (VPN) connections with respective VPN servers; determining, by the user device based at least in part on establishing the respective parallel VPN connections, a default VPN server from among the respective VPN servers; and selecting, by the user device based at least in part on determining the default VPN server, the default VPN server as a VPN server from which the user device is to receive a VPN service; and transmitting, by the user device based at least in part on selecting the default VPN server; a request to the default VPN server to receive the VPN service is disclosed. Various other aspects are contemplated.

Abstract: A computer-implemented method, system and computer program product for improving performance for retrieving and reporting information from a data warehouse. A query (e.g., SQL query) is received. If a materialized view is present, and if such a materialized view was generated within the designated time frame, then the query is translated to query a materialized view. The translated query is then sent to a first data storage database of the data warehouse storing materialized views to be processed to obtain the materialized object associated with the query. If, on the other hand, the materialized view is not present, or the materialized view is present but has not been generated within the designated time frame, then the query is sent to the second data storage database of the data warehouse storing the original data without any modification to retrieve and report the appropriate information from the second data storage database.

Abstract: A server, method, and non-transitory computer readable medium for ranking a plurality of data sources are provided. The server includes a network interface, a memory storage unit and a processor. The method involves receiving an input query, identifying entities of the input query using conditional random fields, generating a normalized query and applying a support vector machine to the normalized query. The non-transitory computer readable medium is encoded with programming instructions to direct a processor to carry out the method.

Abstract: Methods and servers for storing data associated with users and digital items of a recommendation system having access to non-distributed and distributed storages. The server trains a model based for generating first user and item embeddings. The server stores (i) the first user embeddings in the non-distributed storage, and (ii) the first item embeddings in the distributed storage. The server re-trains the model for generating second user and item embeddings. The server stores (i) the second user embeddings in the non-distributed storage in addition to the first user embeddings, and (ii) second item embeddings in the distributed storage instead of the respective first item embeddings by replacing the respective first item embeddings. When the second item embeddings are stored on each node of the distributed storage, the server removes the first user embeddings associated with the first value from the non-distributed storage.

Abstract: A system includes a first multi-port RAM storing an instruction table. The instruction table specifies a regular expression for application to a data stream and a second multi-port RAM configured to store a capture table having capture entries decodable for tracking position information for a sequence of characters matching a capture sub-expression of the regular expression. The system includes a regular expression engine processing the data stream to determine match states by tracking active states for the regular expression and priorities for the active states by storing the active states of the regular expression in a plurality of priority FIFO memories in decreasing priority order. The system includes a capture engine operating in coordination with the regular expression engine to determine character(s) of the data stream that match the capture sub-expression based on the active state being tracked and decoding the capture entries of the capture table.

Abstract: A smart charger and associated methods and systems are disclosed. The smart charger identifies an anticipatory event that triggers battery charging, selects a battery charging profile that matches the anticipatory event, charges the battery of a mobile device based on the battery charging profile, and updates criteria for identifying anticipatory events and/or the battery charging profile that matches the anticipatory event.

Abstract: A tracking system passively tracks and records searches conducted by actual search engine users. The recorded data for each search event preferably includes the search query submitted, the search engine used, the search result item (e.g., web page) selected, the position (e.g., page number) of this item, and the user's IP address. The collected data is aggregated and analyzed to generate data regarding the search queries used to locate and access particular destinations (e.g., web pages and sites). This data may be used for various purposes, such as (1) to generate reports showing, e.g., how users reach a particular destination from different search engines and geographic locations, (2) to select content to display on a destination page, such that the content is relevant to search queries commonly used to locate that page, and (3) to update the database of one search engine to reflect searches conducted on other search engines.

Abstract: Computer-implemented systems and methods are disclosed for indexing and aggregating data. In accordance with some embodiments, the systems comprise a memory device configured to store a set of instructions, and one or more processors configured to execute the set of instructions to generate an interactive user interface, receive, via the user interface, a user selected search criteria, access a plurality of aggregated data records comprising a plurality of data components, parse the aggregated plurality of data records to generate a subset of the aggregated plurality of data records corresponding to the search criteria, and display, via the user interface, a visual representation of the subset of the plurality of data records.

Abstract: Systems and processes are disclosed for operating a digital assistant in a media environment. In an example process, a primary set of media items can be displayed. An audio input containing a media-related request can be received. A primary user intent corresponding to the media-related request can be determined. In accordance with a determination that the primary user intent comprises a user intent to narrow the primary media search query, a second primary media search query corresponding to the primary user intent can be generated. The second primary media search query can be based on the media-related request and the primary media search query. The second primary media search query can be performed to obtain a second primary set of media items. Display of the primary set of media items can be replaced with display of the second primary set of media items.

Abstract: Embodiments are directed to video segmentation based on a query. Initially, a first segmentation such as a default segmentation is displayed (e.g., as interactive tiles in a finder interface, as a video timeline in an editor interface), and the default segmentation is re-segmented in response to a user query. The query can take the form of a keyword and one or more selected facets in a category of detected features. Keywords are searched for detected transcript words, detected object or action tags, or detected audio event tags that match the keywords. Selected facets are searched for detected instances of the selected facets. Each video segment that matches the query is re-segmented by solving a shortest path problem through a graph that models different segmentation options.

Abstract: Embodiments of the present disclosure are directed to a method for reporting or graphically representing communications in a computer system including at least one processor and at least one electronic storage device coupled to the at least one processor. The method includes storing computer readable electronic files of the communications in the at least one electronic storage device. The method further includes grouping a plurality of communication addresses by mapping the plurality of communication addresses associated with one or more communicators of the communications to a single communication party. The grouped plurality of communication addresses associated with the one or more communicators is represented as the single communication party. The method further includes reporting or graphically displaying the communications. The communications involving the grouped plurality of communication addresses are treated as involving the single communication party.

Abstract: A novel algorithm for packet classification that is based on a novel search structure for packet classification rules is provided. Addresses from all the containers are merged and maintained in a single Trie. Each entry in the Trie has additional information that can be traced back to the container from where the address originated. This information is used to keep the Trie in sync with the containers when the container definition dynamically changes.

Abstract: Method, storage medium and apparatus associated with content preparation and/or selection are disclosed herewith. In embodiments, an apparatus may include a content preparation or selection module to receive, as part of a content preparation or selection, a representation of a concept; and determine, for the content preparation or selection, topical relevance of a content item (N) of a content hierarchy to the concept. The content hierarchy may include a plurality of content items, including N, and determining the topical relevance of N to the concept includes determination of propagation of influence among content items of the content hierarchy subject to constraints that bound the number of operations performed by the computing system to determine the propagation of influence among content items of the content hierarchy with a chosen constant. Other embodiments may be disclosed and/or claimed.

Abstract: Systems and methods for providing online content include evaluating a custom selection rule specified by a content provider. The custom selection rule may be used to control whether content from the provider is eligible for selection by a content selection service. The content selection rule may include one or more logical operators, a selected interest category and/or a selected list of one or more client identifiers.

Abstract: To provide a system having a mechanism for viewing a plurality of electronic documents and adding notes at high speed and for preventing a plurality of users from accessing database files at the same time. The system for organizing document data includes a database program for managing one set of database files provided for each of users, a display program for generating data to visualize a part or all of a table where the one set of database files is described, and a viewer program for displaying the data generated by the display program on a screen of each user terminal. The database program has a function for loading a part or all of the one set of database files into a memory of the user terminal and for having a virtual database in the memory.

Abstract: The present disclosure relates to systems, devices, and methods for a visual exploration of search engine results. The systems, devices, and methods may present, in response to receiving the search engine results for a query to perform a task, a search result webpage with a cascading waterfall layout that includes a plurality of images from a plurality of webpages included in the search results. The search result webpage may also present, adjacent to the plurality of images, structured data corresponding to a selected image from the plurality of images where the structured data includes details from the webpage to complete the task.

Abstract: The management server obtains address information indicating a user's address and evaluation information indicating evaluation of a food or a restaurant performed by the user. A food search screen is provided with, as one of search filters, a search filter for filtering foods or restaurants on the basis of results of evaluation of foods or restaurants performed by residents of a certain area. If the user's address indicated by the address information is included in the certain area, the evaluation information indicating the evaluation of the food or the restaurant performed by the user is included in the results of the evaluation of the foods or the restaurants performed by the residents of the certain area.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with client devices and entities. A network profile associated with the client devices and the entities may be generated based upon the event information. A similarity profile associated with the client devices may be generated based upon the network profile. The similarity profile may be indicative of one or more similarity scores associated with a first client device and one or more client devices. A user profile associated with the first client device may be modified, based upon the similarity profile and/or one or more user profiles associated with the one or more client devices, to generate a modified user profile. Content may be selected for presentation via the first client device based upon the modified user profile.

Abstract: A user interface (UI) enhancement system modifies a computer user interface based on user interactions recorded over time. The UI enhancement system records user interactions and develops a corresponding heat map. The heat map represents frequencies of user actions such as links clicked, scrolling actions, buttons selected, jumps within a page, etc. Based on the heat map, the UI enhancement system modifies a user interface configuration file which in turn influences the appearance and/or behavior of elements within the user interface to improve the user experience. Some embodiments give greater prominence to a UI element associated with greater “heat” and less prominence to an element with less “heat”.

Abstract: Systems and methods are described herein for disambiguating a voice search query that contains a command keyword by determining whether the user spoke a quotation from a content item and whether the user mimicked or approximated the way the quotation is spoken in the content item. The voice search query is transcribed into a string, and an audio signature of the voice search query is identified. Metadata of a quotation matching the string is retrieved from a database that includes audio signature information for the string as spoken within the content item. The audio signature of the voice search query is compared with the audio signature information in the metadata to determine whether the audio signature matches the audio signature information in the quotation metadata. If a match is detected, then a search result comprising an identifier of the content item from which the quotation comes is generated.

Abstract: Various aspects describe an information platform for consistently integrating and/or quantifying the underlying principles of ESG into financial analyses, analytical tools, metrics, and/or available information on reviewed companies, business entities, etc. . . . , and further provide integration of analysis with community-based insight, contextual information and tools for readily understanding both. Various embodiments implement machine learning tools for curating data sources and incorporating the data sources into the knowledge platform. The incorporation of AI moderated information sources enables succinct views of often massive information pools, and further provides for transitions between types of information (e.g., qualitative, quantitative, and interactive data source (e.g., engagements, collaborative information, etc.)).

Abstract: In an example embodiment, machine learning is used to intelligently compress documents to reduce the overall footprint of storing large amounts of files for an organization. Specifically, a document is split into parts, with each part representing a grouping of text or an image. Optical character recognition is performed to identify the text in images. Machine learning techniques are then applied to a part of a document in order to determine how relevant the document is for the organization. The parts that are deemed to be not relevant may then be reduced in size, either by omitting them completely or by summarizing them. This allows for the compression to be tailored specifically to the organization, resulting in the ability to compress or eliminate parts of documents that other organizations might have found relevant (and thus would not have been compressed or eliminated through traditional means).

Abstract: Embodiments of the present disclosure relate to the interchange of data in clinically integrated networks (CIN). The interchange system and method described herein relates to the transfer of patient records for switching from one Electronic Health Record (EHR) vendor to another EHR vendor. The interconnection system and method allow for the concatenation of patient records from diverse EHR's for group reporting of clinical quality measures. The interconnection system also allows for transferring of clinical data from any government certified EHR to specific registry. The interconnection system further relates to the enablement of third party products to be used in conjunction with clinic EHR.

Abstract: A computerized method is disclosed including operations of receiving a plurality of request texts, and for each request text of the plurality of request texts: performing a pre-processing operation, performing a first text similarity procedure or a second text similarity procedure that each result in a determination of a most similar request text in a knowledge base, wherein the second text similarity procedure includes performance of word embedding operations, determining a degree of similarity between the current request text and the most similar request text, when the degree of similarity satisfies a similarity threshold comparison, associating an answer associated with the most request text with the current text request, and when the degree of similar does not satisfy the similarity threshold comparison, flagging the current request text or associating a placeholder answer with the current request text. Performing pre-processing may include removing stop words and punctuation and creating tokenized text.

Abstract: There is provided a method and a server for retraining a machine learning algorithm (MLA), the MLA having been trained to classify documents based on features thereof. A resource having a plurality of content items submitted by users is accessed. At least one content item associated with a document having been presented as a search result by a search engine server in response to a search query is identified. The at least one content item is analyzed based on a set of features to determine if the document has been misclassified by the MLA in response to the search query. In response to determining that the document has been misclassified, a training object is generated based on the misclassified document. Other misclassified documents are identified in a similar manner to obtain a set of training objects. The MLA is then retrained based on the set of training objects.

Abstract: In an example embodiment, a single machine learned model that allows for ranking of entities across all of the different combinations of node types and edge types is provided. The solution calibrates the scores from Edge-FPR models to a single scale. Additionally, the solution may utilize a per-edge type multiplicative factor dictated by the true importance of an edge type, which is learned through a counterfactual experimentation process. The solution may additionally optimize on a single, common downstream metric, specifically downstream interactions that can be compared against each other across all combinations of node types and edge types.

Abstract: The present disclosure may be directed to systems and methods for managing and monitoring services and modules. The system may include receiving, from a user device, a request to perform a test on a target application programming interface; calling the target application programming interface; and retrieving a search result page associated with the target application programming interface. The system may include retrieving a rule based on the target application programming interface and applying the rule to the retrieved search result page associated with the target application programming interface. The system may include determining whether to implement the target application programming interface based on the results of the applied rule.

Abstract: Generating a database query using a dimensional hierarchy within a graphical user interface including displaying a data set within a spreadsheet structure, wherein the data set comprises a plurality of columns; displaying a list structure comprising a first level and a second level; receiving a selection of a first column of the plurality of columns as a first key for the first level in the list structure; receiving a selection of a second column of the plurality of columns as a second key for the second level in the list structure; and in response to receiving the selection of the first column and receiving the selection of the second column and based on an order of the first key and the second key in the list structure, generating the database query defining a hierarchical relationship between the first column and the second column.

Abstract: A method for linking payment accounts includes: storing a plurality of account profiles, each profile including data related to a payment account including an account number and account data; encrypting the account number included in each account profile using a method of encryption to obtain an encrypted account number; receiving account linkage data, the data including a plurality of encrypted account identifiers, each identifier being indicated as being linked to another identifier, and each identifier being encrypted using the method of encryption; matching each of the encrypted account identifiers to an encrypted account number; and updating one or more account profiles to indicate a link to another account profile where the encrypted account number included in the profile being updated matches an encrypted account identifier that is indicated as being linked to an encrypted account identifier that matches the encrypted account number included in the other profile.

Abstract: A method comprises receiving a new data set; identifying at least one prior data set of a plurality of prior data sets that matches the new data set; generating a natural language data science problem statement for the new data set based on information associated with the at least prior one data set that matches the new data set; outputting the generated natural language data science problem statement for user verification; and in response to receiving user input verifying the natural language generated data science problem statement, generating one or more AutoAI configuration settings for the new data set based on one or more AutoAI configuration settings associated with the at least one prior data set that matches the new data set.

Abstract: Various embodiments provide a so-called companion experience in which content consumed on a primary screen can serve as a source for an automatic search that returns related content that can be presented on an auxiliary screen. The companion experience can be considered to reside in a layer that can be moved across different screens. The different screens can include different physical screens, such as those associated with different computing devices, or the same physical screen in which the companion experience would be rendered in a frame or sub-window.

Abstract: Provided is a content arrangement method, a website construction support method, and a website construction support method that automatically perform determination of a webpage that should be included, a content that should be included in each webpage, and a related webpage as a target of a hyperlink that should be included in each content, and support a work thereof by utilizing a search trend.

Abstract: A method is described that comprises collecting communication data travelling among a plurality of computing nodes in a networked environment. The method includes using the communication data to create a plurality of connectivity records, wherein each connectivity record comprises a communication between a source computing node and a destination computing node of the plurality of computing nodes. The method includes associating the communication with an application context and protocol. The method includes processing the plurality of connectivity records to eliminate connectivity records that meet at least one criteria, wherein the plurality of connectivity records includes associated application contexts and protocols, wherein a first portion of the plurality of connectivity records comprises the eliminated connectivity records, wherein a second portion of the plurality of connectivity records comprises the remainder of the connectivity records.

Abstract: A method of providing blind vertical learning includes creating, based on assembled data, a neural network having n bottom portions and a top portion and transmitting each bottom portion of then bottom portions to a client device. The training of the neural network includes accepting a, output from each bottom portion of the neural network, joining the plurality of outputs at a fusion layer, passing the fused outputs to the top portion of the neural network, carrying out a forward propagation step at the top portion of neural network, calculating a loss value after the forward propagation step, calculating a set of gradients of the loss value with respect to server-side model parameters and passing subsets of the set of gradients to a client device. After training, the method includes combining the trained bottom portion from each client device into a combined model.

Abstract: Described systems and techniques determine causal associations between events that occur within an information technology landscape. Individual situations that are likely to represent active occurrences requiring a response may be identified as causal event clusters, without requiring manual tuning to determine cluster boundaries. Consequently, it is possible to identify root causes, analyze effects, predict future events, and prevent undesired outcomes, even in complicated, dispersed, interconnected systems.

Abstract: Systems and methods for a relationship-based search in a computing environment are provided. An example method includes providing a graph database. The graph database includes nodes representing workloads of the computing environment and edges representing relationships between the nodes. The method also includes enriching the graph database by associating the nodes with metadata associated with the nodes and the relationships. The method also includes receiving a user query including data associated with at least one of the metadata and the relationships. The method also includes determining, based on the user query, a subset of the nodes in the graph database and a subset of relationships between the nodes in the subset of the nodes. The method also includes displaying, via a graphical user interface, a graphical representation of the subset of the nodes and relationships between the nodes in the subset of the nodes.