Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for storing semi-structured data. One of the methods includes maintaining a plurality of schemas; receiving a first semi-structured data item; determining that the first semi-structured data item does not match any of the schemas in the plurality of schemas; and in response to determining that the first semi-structured data item does not match any of the schemas in the plurality of schemas: generating a new schema, encoding the first semi-structured data item in the first data format to generate the first new encoded data item in accordance with the new schema, storing the first new encoded data item in the data item repository, and associating the first new encoded data item with the new schema.

Abstract: Systems for dynamic data reorganization and query optimization are provided. In some aspects, a database query may be received and evaluated to determine whether it meets one or more criteria. If the database query meets the one or more criteria, the query may be executed and the output of the executed database may be transmitted to the user device. If the database query does not meet the one or more criteria, data associated with the database query may be dynamically modified and/or reorganized (e.g., using machine learning). Modified data may be generated based on the dynamically modified and/or reorganized data. The modified data may be stored in an optimized query cache. An updated query may be generated based on the modified data and stored in the optimized query cache. The updated query may be executed and an output of the executed updated query may be transmitted to the user device.

Abstract: Methods and systems for similarity-based value-to-column classification are disclosed. A method includes: receiving, by a computing device, a natural language search query; determining, by the computing device, a filtering phrase in the natural language search query using a natural language understanding model; encoding, by the computing device, the filtering phrase; retrieving, by the computing device, a plurality of encoded columns; for each of the plurality of encoded columns, the computing device determining a similarity score based on a similarity between the encoded filtering phrase and the encoded column; and outputting, by the computing device, a column corresponding to an encoded column of the plurality of encoded columns having a highest similarity score.

Abstract: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are caused to be generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.

Abstract: A method and apparatus for converting code-description table data to an enumerated data type in a schema record referencing the code-description table. A record of a table is identified that references the code-description table, and a portion of a schema describing the record is updated to include the relevant data of the code-description table as an enumerated type of the record schema. The enumerated type schema element includes data elements of the code-description table relevant to the record, each element having its own type. As additional records of the same table that are related to the code-description table are called, the enumerated type schema element may be updated to include additional code-description table data elements.

Abstract: A top K query directed at a table is received. The table is organized into multiple storage units. The top K query comprises a first clause to sort a result set in order and a second clause that specifies a limit on a number of results provided in response to the query. A table scan operator identifies a first set of rows from the table based on a scan set determined for the table and provides the first set of rows to a top K operator. The top K operator determines a current boundary based on the first set of rows and provides the current boundary to the table scan operator. The table scan operator prunes the scan set based on the current boundary and identifies a second set of rows from the table based on the pruning.

Abstract: Systems and methods for searching for a media asset are described. In some aspects, the system includes control circuitry that receives a first search query from a user. The control circuitry identifies media assets related to the first search query from a content database. The control circuitry receives a second search query following the first search query. The control circuitry determines whether a media asset from the media assets is related to the second search query. In response to determining that less than a threshold number of media assets from the media assets are related to the second search query, the control circuitry transmits an instruction requesting the user to repeat the second search query. The control circuitry receives a third search query related to the first search query. The control circuitry determines a media asset from the media assets that is related to the third search query.

Abstract: A method of disambiguating user intent in conversational interactions for information retrieval is disclosed. The method includes providing access to a set of content items with metadata describing the content items and providing access to structural knowledge showing semantic relationships and links among the content items. The method further includes providing a user preference signature, receiving a first input from the user that is intended by the user to identify at least one desired content item, and determining an ambiguity index of the first input. If the ambiguity index is high, the method determines a query input based on the first input and at least one of the structural knowledge, the user preference signature, a location of the user, and the time of the first input and selects a content item based on comparing the query input and the metadata associated with the content item.

Abstract: Disclosed herein is software technology that enables different accounts to be mirrored. In one aspect, the disclosed process may involve determining that an origin data record created under a first account of a first party is to be mirrored to a second account of a second party, generating a thread identification that is mapped to the data record created under the first account of the first party, and generating a first message that comprises data from the origin data record and the thread identifier that is mapped to the origin data record. Based on the first message, the disclosed process may further involve creating a target data record under a second account of a second party that corresponds to the origin data record created under the first account of the first party and storing the target data record under the second account of the second party.

Abstract: A system and method provides information to a user about other users who have shown an interest in the user or in whom the user shows an interest, or other users in whom the user has shown disinterest or other users who have shown disinterest in the user, as indicated by actions performed with respect to a website or other Internet-accessible repository of data.

Abstract: Technologies for generating relevance-independent position effects estimates for a set of ranked digital items are described. Embodiments include creating an input data set that includes request tracking data and associated activity tracking data. A relevance-independent position effects estimator generates an output data set. An item of the output data set includes user interface position data associated with a pair of adjacently positioned items of the input data set. The user interface position data indicates that a change in user interface activity probability data relating to a change in position between the items of the pair is greater than a change in the user interface activity probability data relating to a difference in the relevance score between the items of the pair. The output data set is stored in a searchable data store. Data from the searchable data store is provided to a downstream service.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and computing entities for generating a comparison data value for each attribute of interest for one or more attributes of interest associated with a dataset. In one embodiment, a method is provided comprising: importing the dataset into a database environment; executing a SQL procedure to aggregate records in the dataset into attribute data items, wherein each item comprises an aggregate data value for each attribute of interest; and for each item: executing the SQL procedure to (1) generate a standardized data value for each attribute of interest based on the aggregate data value; (2) identify a cohort; (3) generate a statistical data value for each attribute of interest with respect to the cohort; and (4) generate the comparison data value for each attribute of interest based on a comparison between the standardized data value and the statistical data value.

Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

Abstract: Aspects of the disclosure relate to a data wrapper engine. A computing platform may receive a query comprising a request for data stored as a CLOB. The computing platform may obtain, from a data storage system, the data stored as a CLOB. The computing platform may generate a file wrapper for the data, wherein generating the file wrapper comprises converting the CLOB to a VARCHAR object and storing the VARCHAR object in the file wrapper. The computing platform may generate, using the VARCHAR object stored in the file wrapper, a SQL response to the query. The computing platform may execute the dynamic SQL response to generate a response to the query. The computing platform may send, to a user device, the response to the query and commands directing the user device to display the response to the query, which may cause the user device to display the response.

Abstract: An apparatus comprises at least one processing device configured to, in a monitoring system in which at any given time at least one monitoring node has a primary monitoring role responsible for monitoring operation of system nodes of a distributed system and other monitoring nodes have a secondary monitoring role responsible for monitoring operation of the at least one monitoring node having the primary monitoring role, identify a first monitoring node having the primary monitoring role at a current time. The processing device is also configured to determine, based at least in part on a time-based ranking of the monitoring nodes, a second monitoring node having the secondary monitoring role at the current time to transition to the primary monitoring role, and to transition the second monitoring node to the primary monitoring role at a subsequent time.

Abstract: In an aspect, provided is a method comprising receiving an expression involving one or more dimensions, determining one or more indexlets associated with the one or more dimensions, querying each of the one or more indexlets with the expression, receiving a result from each of the one or more indexlets, and aggregating the results.

Abstract: Novel tools and techniques are provided for implementing tracking or storing of equipment configuration data using immutable ledger functionality of blockchains. In various embodiments, in response to receiving a first request for first configuration data that is output by first equipment, a computing system might determine whether a communicatively coupled data repository contains the first configuration data. If so, the computing system might retrieve and send (to the requesting device) the first configuration data. If not, the computing system might send, to a blockchain system, a second request for identifying a blockchain containing a block containing the first configuration data.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: generating log files while performing data changes of a source database system table; storing the log files on a first memory device having a first access time; archiving a part of the log files from the first memory device on a second memory device having a second access time, the second access time being higher than the first access time; tracking a second number of pending data changes, the pending data changes being data changes of the records of data change of log files archived on the second memory device which are not yet replicated in a target database system table; selecting a type of data replication from a first type of data replication and a second type of data replication based on the second number; and replicating the data changes in the target database system table.

Abstract: Technology is described herein for ranking candidate result items in at least two stages. In a first stage, the technology uses a first attention-based neural network to determine an extent of attention that each token of an input query should pay to the tokens of each candidate result item. In a second stage, the technology uses a ranking subsystem to perform listwise inference on output results provided by the first stage, to generate a plurality of ranking scores that establish an order of relevance of the candidate results items. The ranking subsystem may use a second attention-based neural network to perform the listwise inference. According to some implementations, the technology is configured to process queries and candidate result items having different kinds and combinations of features. For instance, one kind of input query may include text-based features, structure-based features, and geographic-based features.

Abstract: A method, system and computer program product for database search enhancement and interactive user interface therefor. Database records are ranked by a match score, calculated using a plurality of criteria for determining a match level between values of a record and a search query, and using a plurality of priority parameters for aggregating the match level determined. A plurality of top-ranking records is selected, and a diversity measure is calculated therefor, using at least one class label assigned to records therein. If a sufficiency condition is not met by the diversity measure, at least one reference set of records sharing a class label in common is extracted from the plurality of top-ranking records and analyzed for determining at least one modification to the search query in improvement of the diversity measure, the scoring computational operator is accordingly redefined, and the process reiterates; otherwise, the plurality of top-ranking records is outputted.