Scott E Stuart

US Patent:

8069159, Nov 29, 2011

Filed:

Aug 31, 2010

Appl. No.:

12/807235

Inventors:

Robert O Stuart - Indianapolis IN, US
Scott P. Stuart - Walnut Creek CA, US

International Classification:

G06F 17/30

US Classification:

707705, 707831

Abstract:

A more efficient search algorithm introduces a variety of new tools and strategies to more efficiently search and retrieve desired records from an electronic database. Among these are a strategy that utilizes the frequency of occurrence or similar statistical calculation relating to one or more search fields, search terms or attributes of database records to execute multiple search queries in a more efficient search sequence. In addition, a database is structured to allow for the determination of the frequency of occurrence or similar statistical calculation of any search field, search term, or search attribute, for an entire database and for any subset of a database. The invention finds potential application in any database search application, but is particularly useful in delivering directory assistance services.

US Patent:

20120158695, Jun 21, 2012

Filed:

Jan 18, 2012

Appl. No.:

13/374834

Inventors:

Robert O. Stuart - Indianapolis IN, US
Scott P. Stuart - Walnut Creek CA, US

Assignee:

Mr. Scott P. Stuart - Walnut Creek CA

International Classification:

G06F 17/30

US Classification:

707713, 707E17017

Abstract:

MESA utilizes novel tools and strategies to more efficiently search and retrieve records from an electronic database. An Integrated System Optimizer (ISO) programmable computer system is electronically linked to related database platform systems to dynamically monitor, supervise, control, track and communicate the status of each database query. ISO analyzes IVR speaker dependent and speaker independent confidence levels; determines number of records in initial, subsequent and final subsets of records formed by AlphaOmega combinations and subsets formed by statistical, subjective and objective virtual search parameters; selects optimum search algorithms or search sequence for each query; determines the frequency of occurrence for AlphaOmega combinations; transmits optimum search activity for each query to database subsystems including Intelligent Queries to disambiguate similar records.