The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 28, 2023

Filed:

Apr. 21, 2015
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Lars Bremer, Boeblingen, DE;

Thomas A. P. Hampp-Bahnmueller, Stuttgart, DE;

Markus Lorch, Dettenhausen, DE;

Pavlo Petrenko, Boeblingen, DE;

Sebastian B. Schmid, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06F 16/22 (2019.01); G06F 16/25 (2019.01); G06F 16/23 (2019.01); G06F 16/215 (2019.01); G06F 21/62 (2013.01); G06F 21/60 (2013.01); G06Q 50/26 (2012.01); G06Q 10/10 (2023.01); G06Q 50/18 (2012.01);
U.S. Cl.
CPC ...
G06F 16/285 (2019.01); G06F 16/215 (2019.01); G06F 16/22 (2019.01); G06F 16/2228 (2019.01); G06F 16/2365 (2019.01); G06F 16/25 (2019.01); G06F 16/258 (2019.01); G06F 21/604 (2013.01); G06F 21/62 (2013.01); G06F 21/6245 (2013.01); G06Q 10/10 (2013.01); G06Q 50/18 (2013.01); G06Q 50/265 (2013.01);
Abstract

Provided is a technique for matching different user representations of a person in a plurality of computer systems may be provided. The technique includes collecting information sets about user representations from a plurality of computer systems; normalizing the information sets to a unified format; grouping the information sets in the unified format into indexing buckets based on a user name using a non-phonetic algorithm; determining a similarity score for each pair of information sets in each of the indexing buckets; classifying each information set pair into a set of classes based on the similarity scores, wherein the set of classes comprise at least matches and non-matches; and using a data structure for merging information of information set pairs classified as matches.


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