Abstract: A method for accessing information. The information is received by a computer system from sources for distribution to client computer systems. A piece of the information received from the sources without temporal data is identified by the computer system. The temporal data for the piece of the information based on a policy is identified by the computer system. The temporal data is associated with the piece of the information by the computer system, enabling analyzing the information by a client computer system with increased accuracy.

Abstract: An example method includes receiving and preprocessing a query request prior to execution of a query. Through preprocessing, a probability that execution of the query would yield a result set similar to at least a portion of results stored in a repeated query result repository is obtained. In response to the probability satisfying a probability threshold, a portion of results is retrieved from the repository. The example method further includes causing transmission of a response to the query request, the response comprising the portion of results.

Abstract: Systems and methods provide a first group of computation modules configured to provide back-end compute resources for a first type of computation module by back-end compute resources. Systems and methods provide a second group of computation modules that are configured to provide back-end compute resources for a second type of computation module wherein the first and second type of computation modules are of different types. In some examples, methods and systems identify the type of computation module needed by each of a plurality of queries associated with different types of client applications based on computation module type data associated with each query and route each of the plurality of queries to an appropriate computation module within the first or second computation modules based on the computation module type data.

Abstract: Systems, methods, and machine-readable storage devices provide for identifying a user dataset on a distributed database. The system includes generating a similarity score dataset that indicates a similarity between the user dataset and a plurality of datasets of other users of the distributed database. The system generates a plurality of overlap queries that are configured to output overlap datasets between the user dataset and one or more of the plurality of datasets. The system further generates a results dataset by applying one or more of the plurality of overlap queries to a joined dataset comprising data from the user dataset and one of the plurality of datasets of other users on the distributed database.

Abstract: An artificial reality environment (XRE) schema is defined that supports anel-controlling interactions between various artificial reality actors. The XRE schema includes a set of definitions for an XRE, independent of type of artificial reality device. The definitions in the XRE schema can include standards for both interfaces and data objects. The XRE schema can define XR elements in terms of entities and components of a space, organized according to a hierarchy. Each entity can represent a real or virtual object or space, within the XRE, defined by a name and a collection of one or more components. Each component (as part of an entity) can define aspects and expose information about the entity. The XRE schema can specify structures that that allow actors (e.g., producers, instantiators, and consumers) to define and perform actions in relation to XRE elements.

Abstract: A system for event prediction is configured to ingest at least partially incomplete unstructured data from at least one data source, convert at least a subset of the ingested data into a prediction model in accordance with a received model definition, receive a prediction query, and in response, supply an event prediction based on the prediction model. In some embodiments, ingesting the data involves transforming the unstructured data into a universal structured format in which the data is represented as key-value pairs each comprising a key tuple and an associated value, the key tuple specifying an operation and at least one identifier; the prediction query includes a key tuple specifying an operation and at least one identifier; and the event prediction generated with the prediction model includes a value associated with the key tuple that is missing from the transformed data.

Abstract: A device implementing a multi-user content queue may include a memory and at least one processor configured to receive, on the device, a content query and retrieve, from the memory, user account credentials corresponding to user accounts associated with the device. The at least one processor may be further configured to provide, to a server, the user account credentials and the content query. The at least one processor may be further configured to receive, from the server and based on the content query, a user account identifier of one of the user accounts and a content identifier corresponding to content in a content library of the one of the user accounts. The at least one processor may be further configured to utilize the user account identifier and the content identifier for output, by the device, of the content from the content library of the one of the user accounts.

Abstract: Compiling optimized database statements including receiving, by a query compiler from a client computing system, a state specification of a graphical user interface in response to a user manipulating the graphical user interface on the client computing system, wherein the state specification is in a standard file format and describes modifications to a plurality of visual elements of the graphical user interface; compiling, by the query compiler, a database statement from the state specification such that a limit clause within the database statement is processed by a database before at least one join clause; and sending, by the query compiler, the optimized database statement to a database on a cloud-based data warehouse.

Abstract: Systems and methods for using parameters with shortened resource locators to access a resource are provided. A short resource locator is associated with a full resource locator template in a resource locator association datastore. Parameters provided with the short resource locator are used to replace two or more parameter identifiers within a full resource locator template to generate a full resource locator. The full resource locator is used to access a resource.

Abstract: A method and apparatus for acquiring point of interest (POI) state information are suggested, which relate to a big data technology in the technical field of artificial intelligence. A specific implementation scheme involves: acquiring a text including POI information within a preset period from the Internet; and recognizing the text by using a pre-trained POI state recognition model, to obtain a two-tuple in the text, the two-tuple including a POI name and POI state information corresponding to the POI name.

Abstract: A method performs efficient data searches in a distributed computing system. The method may include, receiving a first key. The method may further include determining a hash map associated with the first key from among a plurality of hash maps. In some examples, the obtained hash map maps a partition of a set of keys to particular index values. The method may further include determining an index value associated with a second key using the determined hash map. The method may further include determining transaction processing data associated with the first key using the determined index value and providing the transaction processing data. Utilization of the plurality of hash maps may enable a data search to be performed using on-board memory of an electronic device of the distributed computing system.

Abstract: A clustering device includes a storage means configured to store a transposed file including array elements in a storage unit, the array elements storing a pair in which a cluster identifier and a first non-zero feature quantity of a mean feature vector are associated with each feature identifier, a calculation means configured to calculate a distance between the object feature vector in sparse representation indicating the object feature vector in a pair in which a second non-zero feature quantity of the object feature vector and a feature identifier of the second non-zero feature quantity are associated with each other, and the mean feature vector of each cluster, and an assignment means configured to assign the object feature vector to one of the plurality of clusters on the basis of the distance, and the calculation means calculates a product of a second non-zero feature quantity and a first non-zero feature quantity stored in an array element of an index based on a feature identifier corresponding to the

Abstract: In an aspect, a system for physiologically informed network searching, includes a computing device designed and configured to receive a biological extraction from a user, input the biological extraction to an index classifier, the index classifier configured to input biological extractions and output web search indices, wherein the classifier is generated by executing a classification algorithm clustering a plurality of user physiological data records to a plurality of user cohort labels, output, from the index classifier, a physiologically linked web index, receive, from the user, a search query, and generate, using the physiologically linked web index and the search query, a ranked search result.

Abstract: A storage device includes at least one processor. The at least one processor is configured to acquire a surface scan image in an image tile format of a set size, bind a set number of image tiles in one segment, and store a plurality of segments as files, respectively, instead of storing the image tiles without modification.

Abstract: Systems and methods for extracting data views from heterogeneous data sources in accordance with embodiments of the invention are illustrated. One embodiment includes a method for extracting data views. The method includes steps for receiving data from several data sources and identifying raw fields from the received data. The process further includes steps for mapping the identified raw fields to common fields by determining similarities between a raw field and each of the common fields, identifying a target common field based on the determined similarities, and mapping the raw field to the target common field. The process further includes steps for extracting views of the received data based on the mapping of the identified raw fields to common fields.

Abstract: A system and method are presented that utilize facet modifications to alter user input values to perform a facet search on a found set of data records. The facet modifications are associated with item records, such as by using type attributes. Facet modifications can be associated with query information that is utilized to create a query on a user interface. Input received from the query is then modified according to the facet modifier in order to create facet search parameters. The facet search parameters are used to perform a facet search to narrow the found set of item records. In some embodiments, facet modifications are stored in facet modifier records. Multiple facet modifications can be stored in a single facet modifier record. A single query input can be manipulated by multiple facet modifications to create separate facet search parameters.

Abstract: The present disclosure relates to systems and methods for carrying out predictive analysis where a plurality of data sets may be ingested from a data lake. A data analyzer may tag the ingested data sets, detect redundant occurrence of multiple attributes such as, a row, a column, and a list in the tagged data set. The data analyzer may eliminate the detected redundant multiple attributes. Further, a model selector and evaluator may execute a machine learning (ML) model to conduct predictive analysis on the data set. The execution may be done based on a predefined set of instructions stored in a database. The executed ML model may be validated upon determining that the predictive analysis yields a positive response for the transformed data set.

Abstract: The present specification discloses video matching. In a computer-implemented method, a plurality of feature vectors of a target video is obtained. A candidate video similar to the target video is retrieved from a video database based on the plurality of feature vectors of the target video. A time domain similarity matrix feature map is constructed between the target video and the candidate video based on the target video and the candidate video. Using the time domain similarity matrix feature map as an input into a deep learning detection model, a video segment matching the target video in the candidate video and a corresponding similarity is output.

Abstract: A method and system for enabling a user to hide or rename an item in a list of items. The user identifies an item or a set of related items and then designates whether to hide or rename the item(s). The hiding or renaming can be applied to printed lists or to lists displayed in online systems, or both. Various options exist for footnoting the hidden or renamed item, and for compensating for hidden items in printed lists. Original item data including date, description and other information are always retained in the database.

Abstract: An embodiment for identifying and processing poly-process natural language queries may include receiving a natural language query. The embodiment may also automatically identify a bridge entity in the received natural language query. The embodiment may also automatically determine whether the received natural language query is a poly-process query. The embodiment may further include, in response to identifying that the received natural language query is the poly-process query, automatically generating sub-queries for each process in the poly-process query and generate results for each sub-query. The embodiment may also automatically combining the results of each sub-query using the bridge entity to output a combined result. The embodiment may further include automatically generating a modified sub-query for post-processing of the combined result. The embodiment may also automatically process the modified sub-query to generate a final query result for the received natural language query.