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:
Jan. 03, 2017

Filed:

May. 25, 2016
Applicant:

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

Inventors:

Olympia Gluck, Haifa, IL;

Itzhack Goldberg, Hadera, IL;

Gilad Sharaby, Alon Hagalil, IL;

Neil Sondhi, Budapest, HU;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/21 (2006.01); G06F 17/24 (2006.01); G06F 17/27 (2006.01); G06F 3/0484 (2013.01); G06T 11/00 (2006.01); G06F 17/22 (2006.01);
U.S. Cl.
CPC ...
G06F 17/218 (2013.01); G06F 3/0484 (2013.01); G06F 17/2247 (2013.01); G06F 17/24 (2013.01); G06F 17/2775 (2013.01); G06F 17/2785 (2013.01); G06T 11/001 (2013.01);
Abstract

In a method for dynamically highlighting repetitive text in electronic documents, obtaining one or more user preferences related to a user reading an electronic document. The method further includes determining whether the electronic document contains one or more repetitive text associations, wherein a repetitive text association is data that provides one or more indications of repetitive text segments interspersed within a document. In response to determining that the electronic document contains one or more repetitive text associations, the method further includes identifying one or more repetitive text segments in the electronic document corresponding to the one or more repetitive text associations and determining a time duration expended by the user reading an instance of the identified one or more repetitive text segments within the electronic document. The method further includes highlighting the identified one or more repetitive text segments within the electronic document based one or more obtained user preferences.


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