Automatic query clustering

Abstract

The present invention relates to a system and methodology for automatic clusterization and display of data items in a local or remote database system. Such clusterization can be based on properties associated with the data items such as a type, location, people, date, time, user-defined, and so forth, wherein an initial property may be employed to form a first level of clusterization and a subsequent property may be automatically determined to form an optimized clusterization from which to find and retrieve desired information. A computerized interface for organizing and retrieving data is provided. The interface includes a property analyzer to determine an item distribution for at least two cluster properties and an organizer that forms new clusters based in part on the item distribution.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS [0001] This application is a divisional of U.S. patent application Ser. No. 10 / 764,738, filed Jan. 26, 2004, entitled “AUTOMATIC QUERY CLUSTERING”. The entirety of the aforementioned application is incorporated herein by reference.TECHNICAL FIELD [0002] The present invention relates generally to computer systems, and more particularly to a system and methods that automatically organize information items into a smaller subset of items by analyzing an item distribution associated with various property clusters. BACKGROUND OF THE INVENTION [0003] One key aspect of a database-based operating system is an ability to find desired items quickly by executing a query that may involve a number of item properties. This should be compared to previous systems, which required the knowledge of a file location within a folder hierarchy to retrieve desired information, for example. While the query approach is very powerful, the success of newer systems general...

AI Technical Summary

Benefits of technology

Enables users to efficiently find and retrieve desired information by presenting items in easily manageable clusters, improving user interface simplicity and effectiveness in navigating large datasets, even with user-defined properties.

Problems solved by technology

In a file system user interface, navigating a large set of items such as by displaying the items as lists becomes problematic when attempting to find and retrieve desired information from such lists.

Thus, cases when there are just a few clusters with a large number of items, or a large number of clusters with just a few items in each cluster are typically not desired in order to efficiently find and retrieve desired information.

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