Abstract: Methods and systems are described herein for improvements for reducing client-server network traffic. For example, methods and systems allow for the reduction of client-server network traffic by altering search filters based on their respective rank and/or frequencies of being searched with other search filters included in a search query. In this way, users do not have to resubmit queries that are illogical or would return a null set of search results. For example, a first query may be received. A first search may be performed based on the first query. A first search filter may be selected based on a hierarchical tree structure of search filters. A second query may be generated comprising the first search filter and one or more other search filters, wherein the second query comprises fewer search filters than the first query, and a second search may be performed based on the second query.

Abstract: A system and method are disclosed for scoring sentiments of communication activity and includes one or more databases that stores data describing electronic communication between one or more customer devices and one or more service center devices and a computer. The computer is configured to monitor communication activity of the one or more customer devices and the one or more service center devices to determine whether a communication channel has been opened between the one or more customer devices and the one or more service center devices and identify one or more communication activities associated with the electronic communications. The computer is further configured to compare the identified one or more communication activities with one or more predetermined communication data, determine a sentiment score based on one or more correlations between the identified one or more communication activities and the communication data.

Abstract: Embodiments of the present invention are directed to facilitating performing data extraction via efficient extraction rule matching. Generally, an extraction rule can be determined to match an event based on a two-step process. In particular, initially, a determination that a set of fixed substrings associated with the extraction rule matches fixed substrings of the event can be made. Based on fixed substring match, a determination can be made that a set of fields associated with the extraction rule matches fields of the event. In such a case, the extraction rule can be deemed to match the event and used to extract values from the event.

Abstract: A device implementing a system for providing location based search results includes at least one processor configured to detect that a location of a device is within a location of a store or within a threshold distance of the location, and establish a connection with a wireless network of the store. The at least one processor is configured to access an intranet associated with the store, the intranet being accessed via a network identifier previously stored on the device in association with the store, and receive user input for a search. The at least one processor is configured to obtain, via the intranet, at least one of a query completion suggestion or search result having been targeted to the location of the store or the threshold distance of the location, and display the at least one of the query completion suggestion or the search result in association with the search.

Abstract: An information processing apparatus includes at least one processor, in which the processor receives a search objective target selected as a search objective from among a plurality of objective targets which are objective target subjects or objective target objects capable of being the search objective, receives a search condition designated for the search objective target, outputs a search result obtained by searching for a search target based on the search condition, and accumulates the search condition used for a search performed as the search objective target, as a search history, for each of the plurality of objective targets.

Abstract: According to some embodiments, methods and systems may manage a fleet of multi-tenant logical databases in Relational Database Management System (“RDBMS”) servers for a cloud computing environment. The system may include a pool of physical RDBMS servers (e.g., Postgre-Structured Query Language (“SQL”) servers) and a tenant-aware Application Programming Interface (“API”) that is accessed by tenants. A computer processor of a database allocation engine may receive, from the tenant-aware API, a request to provision a logical database including a tenant identifier associated with a requesting tenant. The database allocation may then select an eligible physical RDBMS server in the pool of physical RDBMS servers and allocate a logical database for the requesting tenant via the selected physical RDBMS server (e.g., using the tenant identifier).

Abstract: Techniques for using suppression filters for presenting content of a network documents are described. In an example, a computer system receives, from a device associated with an account identifier, a request for an online network document. The computer system determines that a first category identifier of a first item category is associated with a suppression filter. The computer system determines that the account identifier is associated with an online item interaction having an interaction time associated with an item that belongs to the first item category. The computer system determines, based on a comparison of the interaction time and the suppression time, that a presentation of the first content in the online network document is prohibited. The computer system sends, to the device in response to the request, network document data that indicates second content about a third item that belongs to a second item category.

Abstract: A terminal device may, in a case where a first association instruction is acquired, store a first association between a label file and a first database file, and, in a case where a second association instruction is acquired, store a second association between a first object area and a first field name. The terminal device may, in a case where a first print instruction is acquired, create N pieces of first print data and send the N pieces of first print data to a label printer. The terminal device may, in a case where a disassociation instruction is acquired under the state where the first association and the second association are stored, disassociate the first association between the label file and the first database file without disassociating the second association between the first object area and the first field name.

Abstract: A data processing system that provides access to operator state information includes a plurality of operators that are configured to perform a computation with respect to data received from data sources. State information is associated with at least one of the plurality of operators. The data processing system also includes an object graph that comprises a representation of the computation, and that may dynamically change at runtime. The data processing system also includes an interface that provides access to the state information via the object graph. The data processing system also includes a query manager that is executable to process a graph query to retrieve the state information by traversing a plurality of nodes within the object graph. Temporal navigation is also supported. Thus, processing a graph query may involve navigating to a node in the object graph at a certain point in time.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: A logical graph is generated using at least a portion of log data received from a set of agents executing on one or more nodes in one or more data centers. The logical graph is augmented using data obtained from one or more agents executing in containerized environments, including by representing communications between pods within the logical graph. The augmented logical graph is used to detect an anomaly.

Abstract: An information processing device (100) has: an acquisition unit (131) which acquires, from a second terminal device (50) of a second user, an encryption search index, which is a search keyword encrypted by searchable encryption using a shared key and a verification key acquired from a first terminal device (10) of a first user who owns a document, and an identifier of the second user who searches for the document; a test unit (132) which checks a database, in which the encrypted-document index of an encrypted keyword of the document generated in the first terminal device (10), an encrypted document associated with the encrypted-document index, and a test key and a re-encryption key corresponding to the second user are registered, and tests the encryption search index by using the test key based on the identifier of the second user; and a generation unit (133, 134) which encrypts the encrypted document, which has been searched for by using the tested encryption search index, by the re-encryption key based on t

Abstract: An embodiment for analyzing and tracking data flow to determine proper schemas for unstructured data. The embodiment may automatically use a sidecar to collect schema discovery rules during conversion of raw data to unstructured data. The embodiment may automatically generate multiple schemas for different tenants using the collected schema discovery rules. The embodiment may automatically use ETL to export unstructured data to SQL databases with the generated multiple schemas for the different tenants. The embodiment may automatically monitor usage data of the SQL databases and collect the usage data. The embodiment may automatically optimize schema discovery using the collected usage data. The embodiment may automatically discover schemas with hot usage and apply the discovered schemas with hot usage to other tenants for consumption and further monitoring.

Abstract: A method for creating a database for a domain specific application includes providing a centralized data repository comprising data from different sources, identifying a set of data units of the repository that represent a specific domain, determining a pivotal entity type for an application, determining a mapping between different identifiers of the pivotal entity type, creating a reference set by selecting a first subset of the set of data units using the mapping, wherein the first subset represents the pivotal entity type, selecting, based at least in part on the mapping, a second subset of the set of data units, wherein the second subset represents non-pivotal entity types which are related to instances of the pivotal entity type in the reference set; and creating a database from data units and associated attributes selected from the reference set of data units and the second subset of data units.

Abstract: In response to receiving a tagging request to map a first non-fungible token (NFT) to a first user device, a processor transmits an authorization request to a second user device to map the first NFT to the first user device. In response to receiving an approval of the request, the processor transmits a request to a minting server of an NFT blockchain network to generate the first NFT for the first user device. The processor stores a token ID of the generated first NFT in a memory. In response to receiving a second authorization from the first user device to perform a data interaction, the processor requests the NFT blockchain network based on the token ID, verification of the first user device. In response to receiving an indication that the first user device is verified, the processor processes the data interaction.

Abstract: A method is provided for output validation of data processing systems, performed by one or more processors. The method comprises performing a data comparison between a first data table and a second data table to determine a data differentiating table, wherein the first data table is based on an output of a first data pipeline, and wherein the second data table is based on an output of a second data pipeline; performing a schema comparison between the first data table and the second data table to determine a schema differentiating table; generating a first output validation score based on the data differentiating table; generating a second output validation score based on the schema differentiating table; and generating a summary comprising both the first and second output validation scores.

Abstract: In some implementations, a system may obtain, from a first data repository, a first dataset that includes event data associated with a generic schema. The system may infer an event-specific schema that defines an organizational structure for the event data based on common attributes identified among a plurality of events included in the event data using one or more data analytics functions. The system may store, in a second data repository, a second dataset in which the event data is partitioned based on the organizational structure defined by the event-specific schema. The system may generate a third dataset that includes a subset of the event data included in the second dataset that satisfies one or more registration parameters related to an extract, transform, load (ETL) use case. The system may provide the third dataset to an ETL system configured to process the third dataset based on the ETL use case.

Abstract: Querying of time-aware metrics time series includes receiving a query, the query comprising a set of query metadata and a query time range. It further includes, based at least in part on the set of query metadata and the query time range, selecting a time series from a plurality of metrics time series. Each metrics time series in the plurality of metrics time series is associated with a set of metadata and an active interval of time. A set of metadata associated with the selected time series matches the set of query metadata, and an active interval of time associated with the selected metrics time series intersects with the query time range. The selected metrics time series is returned.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive structural analysis using at least one of table column classification machine learning models, table column clustering machine learning models, structural variance generation machine learning models, and emergence report generation machine learning models.

Abstract: The present inventors devised, among other things, an application development system and method. One exemplary method entails providing a set of legal research application feature or functions and receiving a first configuration file from a user, selectively enabling or disabling one or more of the features to define a first legal research application on a first server for a first country. The method further entails receiving a second configuration file from a user, which similarly selectively enables of disables one or more of the features to define a second legal research application on a second server for a second country. The configuration files also customize the user interfaces accord to brand specific criteria for each of the countries.