Patent classifications
G06F16/00
System and method for synchronizing data between a customer data management system and a data warehouse
Systems and methods for synchronizing data between a customer data management system and a data warehouse system. A data warehouse server may constantly monitor a dynamic metadata flow from the customer data management system, compare it with the metadata in the data storage device, and dynamically update the metadata in the data storage device. The data warehouse server may track activities over time and accumulate a long running history, which may include multiple versions of accounts in the customer data management system, e.g., the account as of today, the account as of yesterday, and another version that was the account two weeks ago.
Query modification based on non-textual resource context
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, modifying queries based on non-textual content. In one aspect, a method includes receiving, from a user device, a query including a plurality of terms; determining active non-textual data displayed in an application environment on the user device; determining, from the non-textual textual data, modification data for the query; generating a set of modified queries based on the query and the modification parameters; scoring the modified queries according to one or more scoring criteria; selecting one of the modified queries based on the scoring; and providing, to the user device, search results responsive to the selected modified query.
Using an object model to view data associated with data marks in a data visualization
A computer generates and displays a data visualization in a data visualization user interface according to placement of data fields, from a data source. The data visualization includes visual data marks representing data from the data source. The computer detects a user input to select a visual data mark. In response to detecting the user input, the computer obtains a data model encoding the data source as a tree of logical tables. The computer identifies one or more aggregated data values for the visual data mark, each of the aggregated data values corresponding to a respective data field in the data model. For each of the aggregated data values, the computer retrieves a respective disaggregated set of data rows from a respective logical table containing the respective data field. The computer displays a summary grid, with a respective tab corresponding to each of the retrieved disaggregated sets of data rows.
Query rephrasing using encoder neural network and decoder neural network
A method comprising receiving first data representative of a query. A representation of the query is generated using an encoder neural network and the first data. Words for a rephrased version of the query are selected from a set of words comprising a first subset of words comprising words of the query and a second subset of words comprising words absent from the query. Second data representative of the rephrased version of the query is generated.
Enhanced search result relevancy for information retrieval systems
Disclosed in some examples are methods, systems, and machine readable mediums which utilize volume to improve the ordering of search results for various information retrieval systems. This improves relevance as volume is a proxy for interest. As volume changes over time, the relevance of a particular result to a particular search query will increase or decrease over time.
Attribute identification based on seeded learning
A system and method are presented in which known genetic attributes associated with a condition are used to seed the determination of additional attributes which are associated with the condition. Based on the learning, the additional attributes (genetic, behavioral, or both) provide for an increased correlation between the combined attributes and the condition. For behavioral attributes, a measure of the impact of the behavioral attribute on the risk of the condition can be transmitted to another device or system.
Attribute identification based on seeded learning
A system and method are presented in which known genetic attributes associated with a condition are used to seed the determination of additional attributes which are associated with the condition. Based on the learning, the additional attributes (genetic, behavioral, or both) provide for an increased correlation between the combined attributes and the condition. For behavioral attributes, a measure of the impact of the behavioral attribute on the risk of the condition can be transmitted to another device or system.
Method and apparatus for generating context category dataset
The present disclosure provides an apparatus for and method of generating a context category dataset. According to some embodiments, the present disclosure provides a context category dataset generating apparatus and method which predict a context category to which a user-inputted hashtag belongs, receive from the user the user's context category to which the hashtag belongs, and generate and update the context category dataset.
Method and system for automatically detecting errors in at least one data entry using image maps
A method for automatically detecting errors in at least one data entry in a database, the at least one data entry including an input string of characters that do not match at least one predefined string of characters. The method includes generating a first image map; generating at least one classification parameter by comparing the first image map to a second image map, the second image map based at least partially on the predefined string of characters; determining that the input string of characters correlates to the predefined string of characters; and modifying the at least one data entry to match the predefined string of characters in response to determining that the input string of characters correlates to the predefined string of characters. Various other methods and systems for automatically detecting errors in at least one data entry in a database are also disclosed.
Snapshot performance optimizations
Techniques for creating and using snapshots may include: receiving a request to create a new snapshot of a source object; determining whether a first generation identifier associated with the source object matches a second generation identifier associated with a base snapshot of the source object; determining whether the source object has been modified since the base snapshot was created; and responsive to determining the first generation identifier matches the second generation identifier and also determining that the source object has not been modified since the base snapshot was created, associating the new snapshot with the base snapshot thereby indicating that the new snapshot and the base snapshot have matching content and denote a same point in time copy of the source object.