Abstract: Resource provisioning systems and methods are described. In an embodiment, a system includes a plurality of shared storage devices collectively storing database data, an execution platform, and a compute service manager. The compute service manager is configured to determine a task to be executed in response to a trigger event and determine a query plan for executing the task, wherein the query plan comprises a plurality of discrete subtasks. The compute service manager is further configured to assign the plurality of discrete subtasks to one or more nodes of a plurality of nodes of the execution platform, determine whether execution of the task is complete, and in response to determining the execution of the task is complete, store a record in the plurality of shared storage devices indicating the task was completed.

Abstract: A computerized method for training a computer executed model for recognizing numerical quantities is provided. An input, at least one unit expression, is received by an input module. The input module may then search for numeric values and the unit expression in a text corpus, wherein, the text corpus comprises sets of words and frequency of occurrence of each of the sets. The input module may identify identified sets, wherein the identified sets may comprise a combination of a numeric value and the unit expression. A synthetic text generation module may then generate sentences from the text corpus by applying the identified sets as input. A training dataset may be generated by a labeling module by auto labelling features in the generated sentences based on the numeric value and the unit expression and further a training module may train the training model by providing input based on the training dataset.

Abstract: A method by one or more computing devices implementing a data insights sharing service to allow a first user of the data insights sharing service to share data insights with other users of the data insights sharing service. The method includes storing metadata describing one or more data insights, where the one or more data insights were generated based on analyzing a dataset of the first user, responsive to receiving a request from a second user to access the one or more data insights, generating the one or more data insights based on the metadata describing the one or more data insights without accessing the dataset, and providing the one or more data insights to the second user via a graphical user interface (GUI) of the data insights sharing service.

Abstract: Embodiments of the technology described herein, provide improved visual search results by combining a visual similarity and a textual similarity between images. In an embodiment, the visual similarity is quantified as a visual similarity score and the textual similarity is quantified as a textual similarity score. The textual similarity is determined based on text, such as a title, associated with the image. The overall similarity of two images is quantified as a weighted combination of the textual similarity score and the visual similarity score. In an embodiment, the weighting between the textual similarity score and the visual similarity score is user configurable through a control on the search interface. In one embodiment, the aggregate similarity score is the sum of a weighted visual similarity score and a weighted textual similarity score.

Abstract: Systems and methods are provided for generating a user click history table and a random bucket training table, generating training data for training a user-type-affinity machine learning model by combining the user click history table and the random bucket training table, and training the user-type-affinity machine learning model with the generated training data. The systems and methods further provide for generating a user click prediction table and generating user-type-affinity prediction values for each of the plurality of users by inputting the user click prediction table into the user-type-affinity machine learning model.

Abstract: A method for rendering context based information on a user interface includes receiving a user request to extract the context based information from a database. The database includes a plurality of documents and the request includes at least one search criteria required to determine a context of the user request. The method includes generating a list of documents corresponding to the context of the user request and rendering on a viewing portion of the user interface the list of documents corresponding to the context of the user request.

Abstract: The present technology provides for facilitating removal of undesired search results. In one embodiment, a search request including a search term(s) to use for performing a search is obtained. Thereafter, a search query is generated to execute the search. The search query includes the search terms and a removal parameter indicating a particular search result to exclude from search results returned in response to the search request. A set of search results are provided for display via a user device. Such a set of search results can be identified based on execution of the search query and exclude the particular search result.

Abstract: Systems and methods for determining an intended user selection of a search result. For example, a system may display a first set of search results, including a first search result, and thereafter replace display of the first set of search results with a second set of search results, including a second search result. The system may receive selection of the second search result. If the selection of the second search result was received shortly after display of the second set of search results replaced the first set of search results, the system may update the selection from the second search result to the first search result. For example, if selection of the second search result occurred shortly after display of the second search result replaced the first search result, the system may determine that the user intended to select the first search result but inadvertently selected the second search result.

Abstract: Systems, methods, and computer-readable media for fuzzy-searches on encrypted messages include maintaining, in an indexer, a dictionary of words appearing in a message history. Upon receiving a query including at least one search term, a fuzzy search of the dictionary using the at least one search term is performed to determine one or more fuzzy-matching words in the dictionary, and one or more search tokens are generated from the one or more fuzzy-matching words, the one or more search tokens including encrypted versions of the one or more fuzzy-matching words. The one or more search tokens are provided to a search service for searching a database of encrypted messages of the message history, where the at least one search term may not have an exact match with any of the words in the dictionary.

Abstract: A system, method and apparatus for providing for searching of relational data via a mobile communications device are provided. Information identifying searchable tables containing fields is received using a metadata application program interface (API). The metadata API provides information about a schema of the fields and a relationship of at least one of the fields to its corresponding object. Information for generating a view of relational data is provided to the mobile communications device. The view is based on at least one of the fields of at least one of the searchable tables, and the relationship between the at least one of the fields and its corresponding object. A set of user inputs is received based on the relationship presented in the view. A query definition corresponding to the set of user inputs for searching the relational data in accordance with the set of user inputs is created and stored.

Abstract: A model-assisted system for extracting patient information. A processor may be programmed to access a database storing one or more medical records associated with a patient and determine, using a first machine learning model and based on unstructured information included in the one or more medical records, whether the patient is associated with a condition. The processor may further be programmed to identify a date associated with the patient and determine, using a second machine learning model and based on the unstructured information, whether the patient is associated with the condition relative to the date. The processor may generate an output indicating whether the patient is associated with the condition and whether the patient is associated with the condition relative to the date.

Abstract: A communication terminal and a method of providing a unified natural language interface to the same are disclosed. The method includes: determining, when text information containing many characters is created, whether the text information conforms to one of preset grammatical constraints; extracting, when the text information conforms to one of the grammatical constraints, tokens of one or more of characters from the text information, and extracting, when the text information does not conform to one of the grammatical constraints, one or more characters having an attribute probability higher than a reference probability as a token; and analyzing the extracted tokens to determine a function to handle the extracted tokens, and executing the determined function based on the extracted tokens.

Abstract: A system and method for creating a model for predicting and reducing subscriber churn in a computer network. The method including: for a predetermined time period: retrieving traffic flow data per subscriber for a plurality of subscribers in the computer network; determining at least one metric per subscriber from the traffic flow data; determining at least one systemic feature associated with the plurality of subscribers; and storing the at least one amalgamated metric and feature; on reaching the predetermined time period create the model by: analyzing at least one metric and at least one feature for the predetermined time period; predicting, per subscriber, whether the subscriber is going to churn within a churn period in the future based on the analysis; validating the prediction by determining whether the subscriber actually churned during the churn period; and creating the model based on the validated predictions.

Abstract: Disclosed are methods and systems for secure data communication amongst computer systems. Encrypted data in a first format is accessed over a secure communication channel from a first source for a first subject. Encrypted data in a second format is accessed over a secure communication channel from a second source for the first subject. The encrypted data in the first format from the first source and in the second format from the second source is decrypted. The decrypted data in the first format from the first source and in the second format from the second source is converted to a third format. At least partly in response to the request for information from a first system, at least a portion of the data from the first source and the second source is accessed from a database The accessed data is transmitted in encrypted form to the first system.

Abstract: A method and apparatus for generating a new function of a voice agent, wherein usage logs of users of the voice agent may be analyzed to extract a set of utterances of the users with respect to a new function of the voice agent, proto capsules for the set of utterances are provided. The method includes based on the set of utterances, ranks of importance of the proto capsules may be determined, a vocabulary of a proto capsule having a higher rank than a preset criterion may be identified, and a source code stub for a new function of the voice agent corresponding to the proto capsule having the higher rank may be generated based on the identified vocabulary.

Abstract: Provided are a system and method associated with managing contents using a computing device, wherein the method includes accessing a content entry from a content source; adding at least one of a tag, a memo, or a contact for association with the content entry; posting the at least one of the tag, the memo, or the contact in association with a link to the content entry, as a record associated with the computing device in a database; and displaying the content entry accessed in association with the at least one of the tag, the memo, or the contact as posted.

Abstract: A computer investigation system and method organizes information in a hive. Information in a target device is parsed by a processor, and facts and links are extracted from the data. The processor identifies the fact type for each identified fact, and further generates a fact ID for the fact. The information for the fact is stored in the hive in a fact table associated with the fact type. The processor also identifies the link type for each identified link, and further generates a link ID for the link. The information for the link ID is stored in the hive in a link table associated with the identified link type. A query language that is adapted to work with the hive allows querying of data stored in the hive.

Abstract: A database system uses byte ordering for keys and a trie index to reference stored data. The keys of a database are converted into byte-comparable sequences of byte values. The trie index is generated including nodes connected by edges defining paths from a root node to leaf nodes. Each edge is associated with at least one byte value such that each path from the root node to a leaf node through one or more edges defines a unique byte prefix for a byte-comparable sequence of byte values. The leaf node of each path is associated with a database location value. A record is accessed in the database using a database location value determined from referencing the trie index using a byte-comparable sequence of byte values of the record generated from a key of the record. A trie structure and byte ordered keys may be used for partition or row indices.

Abstract: Systems and methods related to an online security center are provided. For example, a processor may receive authentication information via a first website, a first application, or both. The authentication information may be associated with an account registered with a second website, a second application, or both. The processor may store the authentication information. The processor may receive input of a selection related to managing a stored password of the authentication information. The processor may automatically generate a new password based at least in part on one or more password specifications that enhance security of the new password, a configurable time limit for changing the authentication information, or some combination thereof. The processor may then display a recommendation including the new password, automatically change the stored password to the new password, or some combination thereof, based on the input.

Abstract: A semiconductor device in which sufficient stress can be applied to a channel region due to lattice constant differences.

Abstract: A graphics processing unit (GPU) includes a table located in a memory of the GPU and a cache hierarchy. The table contains an address of inactive data in a cache hierarchy of the GPU in which the inactive data is associated with an intermediate render target. The cache hierarchy is responsive to an eviction event by discarding the inactive data from the cache hierarchy without performing a writeback to a system memory associated with the GPU based on the address of the inactive data being contained in the table. The cache hierarchy may obtain the address of the inactive data from the table, and the inactive data may be located in a last-level cache of the cache hierarchy. In one embodiment, the address of inactive data in a cache hierarchy of the GPU includes a range of addresses for the inactive data.

Abstract: A first electronic device may enable generation, updating, and/or storage of user configuration information. The user configuration information may comprise information pertaining to device configuration and/or operational preferences specific to the device user and/or various use settings, connectivity, and/or use of available resources. The generation, updating, and/or storage of the user configuration information may be performed manually and/or automatically, and may be performed directly within the first electronic device and/or via networked devices, which may communicatively coupled to the first electronic device. A second electronic device may be enabled to be communicatively coupled to the first electronic device and/or the networked devices. The second electronic device may then be enabled to download existing user configuration information from the first electronic device and/or the networked device, and the downloaded user configuration may be utilized to configure the second electronic device.

Abstract: A search system (10) includes a search term acquisition unit (111) configured to acquire a search term; a full-text search unit (112) configured to perform a searching operation based on the search term; and a visualization unit (114) configured to display a corresponding relationship between the search term and a result obtained by performing the searching operation.

Abstract: The following relates generally to pharmacy and/or merchandise pickup location selection. In some embodiments, factors are used to determine a pharmacy and/or merchandise pickup location selection for an individual. In this regard, the factors may include: whether the pharmacy and/or merchandise pickup location has a medication in stock; wait time at the pharmacy and/or merchandise pickup location; geographic distance to the individual; travel time from the location of the individual; urgency of filling a prescription; price of a prescription; whether another product or class of products available at the pharmacy and/or merchandise pickup location; and/or whether a locker is available at the pharmacy and/or merchandise pickup location. In some embodiments, Artificial Intelligence (AI) is used to create a model of pharmacy and/or merchandise pickup location selection for the individual.

Abstract: To make it possible to accurately generate a word vector even if vocabulary of a word vector data set is not limited. In a vector generating device 10 that generates vectors representing an input sentence P, when generating a series of the vectors representing the input sentence P based on vectors corresponding to words included in the input sentence P, a definition-sentence-considered-context encode unit 280 generates, based on a dictionary DB 230 storing sets of headwords y and definition sentences Dy, which are sentences defining the headwords y, concerning a word, which is the headword stored in the dictionary DB, among the words included in the input sentence P, the series of the vectors representing the input sentence P using the definition sentence Dy of the headwords y.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for utilizing a content recommendation system powering a streaming media publisher channel to enhance an ad creative being shown to the user via awareness or performance campaigns. This method allows the platform to present the most relevant exploratory personalized in-channel content to the publisher platform users in endemic banners that run on the platform which then correspondingly helps drive user reach. An example embodiment operates by implementing personalized content banners that may act as a hook for channel users opening their streaming device, both active and lapsed, to enter back into the channel.

Abstract: A query string for an encrypted database storing a plurality of encrypted data records is received from a requestor. The query string is segmented to obtain at least one word. The at least one word is encrypted with the irreversible encryption algorithm to obtain at least one encrypted word. At least one first encrypted item with a co-occurrence weight higher than a preset threshold based on the at least one encrypted word and a co-occurrence statistics model is acquired. The co-occurrence statistics model is built to provide co-occurrence weights, each indicating a probability that the at least one encrypted word appears in a first encrypted data item of the plurality of encrypted data records. At least one second encrypted data item corresponding to the at least one first encrypted data item is acquired from the plurality of encrypted data records.

Abstract: Embodiments provide for intelligent auto filing of documents to enterprise content management workspaces. One embodiment of a method includes receiving a document to auto file to a workspace of a content management system; detecting an indicator of an entity from the text of a document, the indicator of the entity corresponding to a value of a workspace attribute; determining a result set of candidate records based on querying a set of workspace data for workspaces with the workspace attribute value corresponding to the indicator; detecting mentions in the document text that match attribute values from the candidate records; generating a score for each candidate record based on the mentions detected in the text that match the attribute values from the candidate record; linking the document to an entity based on the scores for the candidate record; and automatically storing the document to a workspace based on the linking.

Abstract: Computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates collected event counts in each event type between non-recent and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company.

Abstract: One or more implementations of the present specification provide a data processing method and apparatus for a blockchain member node, where the blockchain member node includes a plurality of service servers, and at least one authentication module runs on each service server; and a public key of an authentication module of the at least one authentication module is authenticated by the blockchain.

Abstract: Described herein are methods and systems to generate and display interactive graphical user interfaces that receive data inputs from users while emulating a chat session. A server retrieves a set of prompts associated with an electronic form; displays, within a webpage, a first element corresponding to a prompt and a second element having at least one input element configured to receive an input from a user interacting with the webpage. When the user interacts with an input element, the server relocates the first element and dynamically revises the second element by relocating the second element and displaying inputted values received from the user interacting with the at least one input element of the second element. The server then displays a third element comprising next prompts of the electronic form.

Abstract: A data management server computer (“server”) and related methods are disclosed to enhance electronic documents or search processes related to skill data, including skill names, using machine learning techniques. The server is programmed to organize skill names from a dictionary into a knowledge graph. The knowledge graph includes nodes that represent the skill names and words of the skill names and edges that represent syntactic or semantic relationships. The server is programmed to respond to skill-related requests using the knowledge graph and track access patterns of the knowledge graph in responding to the requests. The replies to the request can be generated based on the structure or access patterns of the knowledge graph and used as search results or skill-related data, such as resumes or job descriptions.

Abstract: A data query for data is received that is associated with a first data node managed by a first executable service and a second data node managed by a second executable service. The data query comprises a subquery that is directed to the second executable service for access to the second data node. From the data query, a selection set is determined. The selection set includes the first data node and the second data node. In view of the selection set, a batch access request is generated to the second executable service that retrieves data for the subquery from the second data node in a single access request.

Abstract: A method includes receiving, by a first computing entity of a database system, a data set that is organized in rows and columns. The method further includes determining whether to partition the data set based on a parameter associated with the data set. When determining to partition the data set, the method includes determining partitioning parameters for the data set, and partitioning the data set into a plurality of data partitions in accordance with the partitioning parameters. The method further includes determining a first coding scheme for a first data partition and determining a first number of first raw data segments for a first segment group of the first partition based on the coding scheme. The method further includes dividing the first partition to produce the first number of first raw data segments for storage in the database system.

Abstract: Methods and systems for making effective use of system resources. A plurality of requests for access to a resource are received. Each request has an associated group of features. The group of features for each request is analyzed to collect observations about the plurality of requests. A function to predict an outcome of a subsequent request is generated based on the observations. Resources are allocated to service the subsequent request based on the function.

Abstract: A frame represents a concept with a set of roles and a set of linguistic rules. If a linguistic rule is satisfied, by a unit of natural language discourse (UNLD), the frame is invoked and a frame instance produced. A frame instance specifies how the UNLD, with particular values drawn from the UNLD, fulfills the roles of the frame. A frame-based search, of target content, is accomplished in response to a frame-based user query. The search result is comprised of records, where each record is a result of a match, of the frame-based query, at a location in the target content. If the frame-based query is implicit, a match requires only that the location of the target content invokes the appropriate frame. If the frame-based query is role-specific, in addition to invoking the appropriate frame, a query search term needs to be found in the value for a role of the frame instance produced.

Abstract: Message filtering and management systems in a chat forward task facilitation communication system are described. One implementation involves receiving one or more pre-filtering inputs from a member, where the inputs include task associations to identify message types to hide or display from a real-time chat interface based on the task associations. A set of messages are processed in real-time using a filtering algorithm to associate one or more tasks with messages of the set of messages, where the one or more tasks correspond to a set of tasks performable by the representative on behalf of the member. A first message is displayed based on the one or more pre-filtering inputs and a first task association with the first message, and a second message is hidden or not displayed based on the one or more pre-filtering inputs and a second task association with the second message.

Abstract: Example techniques relate to a playback device that facilitates queue identification. In an example implementation, a playback device receives, from a first controller, instructions representing a command to populate a playback queue with one or more first media items; the instructions are associated with a first application identifier corresponding to the first controller. Based on the received instructions, the playback device populates the playback queue with the one or more first media items and forms an association between the playback queue and the first application identifier. The playback device receives, from a second controller, instructions representing one or more first commands to access the playback queue; the instructions are associated with a second application identifier corresponding to the second controller.

Abstract: Existing research on cross-lingual retrieval cannot take good advantage of large-scale pretrained language models, such as multilingual BERT and XLM. The absence of cross-lingual passage-level relevance data for finetuning and the lack of query-document style pretraining are some of the key factors of this issue. Accordingly, embodiments of two novel retrieval-oriented pretraining tasks are presented herein to further pretrain cross-lingual language models for downstream retrieval tasks, such as cross-lingual ad-hoc retrieval (CUR) and cross-lingual question answering (CLQA). In one or more embodiments, distant supervision data was constructed from multilingual texts using section alignment to support retrieval-oriented language model pretraining. In one or more embodiments, directly finetuning language models on part of an evaluation collection was performed by making Transformers capable of accepting longer sequences.

Abstract: A computer-implemented method for automatic template selection for extracting data from an input electronic document is provided. The method includes receiving a first set of candidate templates and an input electronic document. For each candidate template, a template similarity ratio value is calculated that represents a similarity of the candidate template to the input electronic document. The first set of candidate templates are ranked according to the template similarity ratios and then matched to the input electronic document resulting in generating a normalized similarity score for each particular candidate from among the candidate templates. Differences in normalized similarity scores of successive pairs of the candidate templates is determined and a breaking point is established. A second set of candidate templates is formed by selecting candidate templates that are ranked above the breaking point. Data from the input electronic document is extracted using the second set of candidate templates.

Abstract: Systems, methods, and media for generating analytical data from actions performed on one or more publishing servers. Methods may include capturing one or more audit trails by determining actions performed on the one or more publishing servers via one or more client devices, the one or more publishing servers adapted to publish informational content; generating analytical data from the one or more audit trails; and storing the generated analytical data in a database.

Abstract: Dump file content and other event data is pruned and prioritized to assist analysis of hangs, crashes, and other circumstances. An event data pruner condenses or excludes certain event data. A cluster creator creates clusters from pruned and vectorized event data, using a clustering algorithm and a similarity metric, without any prior specification of the desired number of clusters. A cluster ranker ranks clusters according to event data volume and thread importance, thus prioritizing the event data for inspection. A results presenter configures a user interface to present ranked clusters, their associated data, data reduction statistics, regression analysis results, and other data reduction processing results. Thus, the innovative functionality assists analysis and prioritized inspection of event data by an analyst, surfacing organized event data that is relevant to the circumstance under investigation, or supporting comparison of clusters from before and after a change in the circumstance, or doing both.

Abstract: Provided is a method, apparatus, system, and/or computer readable medium for providing a map service. The map providing method may include extracting region information attached to a posting in response to an execution of a storage capability or a sharing capability by a user to the posting displayed on a page accessible to a computer, storing address information of the posting and the extracted region information associated with the user, and displaying a point of interest corresponding to the region information on a map service screen associated with the user.

Abstract: Techniques for contextualizing utility visualization patterns in a utility infrastructure environment are described herein. A utility meter data dashboard associated with a type of event may be displayed. A selection of a portion of a first utility visualization displayed in the utility meter data dashboard is received, the portion being associated with a subset of utility data. One or more previously used utility visualizations may be determined from among a plurality of additional utility visualizations. One or more candidate utility visualizations associated with the type of event may be determined from among the previously used utility visualizations. A ranked list of one or more candidate utility visualizations may be displayed. A second utility visualization may be displayed based at least in part on a selection from the ranked list.

Abstract: Systems and methods are disclosed involving user interface (UI) search tools for locating data, including tools for summarizing indexed raw machine data that organize and present results to enable expansion and exploration of initial summarizations. The initial summarizations may be explored and refined to help users determine how to identify and best focus a search on data subsets of greater interest.

Abstract: A method includes obtaining proximity information for each of a plurality of assistant-enabled devices within an environment of a user device. Each assistant-enabled device is controllable by an assistant application to perform a respective set of available actions associated with the assistant-enabled device. For each assistant-enabled device, the method also includes determining a proximity score based on the proximity information indicating a proximity estimation of the corresponding assistant-enabled device relative to the user device. The method further includes generating, using the proximity scores determined for the assistant-enabled devices, a ranked list of candidate assistant-enabled devices, and for each corresponding assistant-enabled device in the ranked list, displaying, in a graphical user interface (GUI), a respective set of controls for performing the respective set of actions associated with the corresponding assistant-enabled device.

Abstract: An apparatus and a method for performing machine learning by executing steps of: generating a decision tree-based machine learning model based on training data; selecting two variables from a decision tree of the machine learning model and determining a correlation between two selected variables; and performing the machine learning based on determined correlation are provided.

Abstract: Store a subscription dataset for each tenant of a multi-tenant system, each of the subscription datasets having a common data format native to the system, the subscription datasets including billing data and not behavioral data. Determine primary features from a particular subscription dataset. Derive secondary features from the primary features. Generate a churn prediction model based on the primary features and the secondary features. Obtain a second subscription dataset, the second subscription dataset comprising billing data that is more recent than the particular subscription dataset. Identify, using the particular churn prediction model and the second subscription dataset, one or more subscribers as a churn-risk. Report the one or more subscribers identified as a churn-risk.

Abstract: Various embodiments improve search technologies and computer information retrieval by executing a query via ranking a set of search result candidates higher than another set search result candidates based at least in part on the query and determining that a first set of search result candidates are indicative of a sub-accessory to an accessory or an accessory itself.

Abstract: A diagnostics tool aids in the efficient collection of relevant error data for addressing faults in connected software systems. Context information is collected from a software system that is being displayed. Configuration of the software system is collected, and used to identify relevant connected software systems. Error data is collected via respective log interfaces from the error logs of the software system being displayed, and relevant connected systems. The context, configuration, and error data is stored in a database. Based at least upon the configuration information, a query is formulated and posed to the database. A corresponding query result is received and processed to return an error report to a user interface, for inspection (e.g., by a user or a support staff member). Certain embodiments may further generate an appropriate recommendation based upon the query result. The recommendation may be generated with reference to a stored ruleset and/or artificial intelligence.