METHOD FOR PROBABILISTIC ANALYSIS OF MOST FREQUENTLY OCCURRING ELECTRONIC MESSAGE ADDRESSES WITHIN PERSONAL STORE(,PST) FILES TO DETERMINE OWNER WITH CONFIDENCE FACTOR BASED ON RELATIVE WEIGHT AND SET OF USER-SPECIFIED FACTORS
Patent №
US 7,636,734
Granted
2009-12-22
Filed 2005
Owner
MICROSOFT CORPORATION
Lab
AI components
2
kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11159449
A probabilistic process to determine the owner of an electronic file, such as a Personal Store (.pst). A weighted analysis of multiple factors is performed including the operating system file owner, a user running the process, a “top Y most frequently occurring addresses” when analyzing “X number of sent then received messages,” and a number of occurrences of each “top Y most frequently occurring address.” Other factors, such as the ability to resolve against a directory service may be used. Each of the “top Y most frequently occurring addresses” is analyzed to calculate its weight according to a predetermined relationship and the address is compared to the operating system file owner and a logged-on user value. If there is a match, that value is returned as the probable owner of the file.
AI classification
Ownership
MICROSOFT CORPORATION
assignment · 170630799
Assignors
JOHNSON, CHRISTOPHER L., WEBB, RICHARD DEAN, KEARNEY, DAVID THOMAS
On an employer assignment, the assignors are typically the inventors.