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:
Nov. 16, 2021

Filed:

Aug. 23, 2019
Applicant:

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

Inventors:

Di Xiao, Toronto, CA;

Adam J. Storm, Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/63 (2013.01); G10L 25/78 (2013.01); G06F 15/02 (2006.01); G06Q 30/06 (2012.01); G09B 5/06 (2006.01); G06F 40/30 (2020.01); G06F 40/20 (2020.01);
U.S. Cl.
CPC ...
G10L 25/63 (2013.01); G06F 15/0283 (2013.01); G06F 15/0291 (2013.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06Q 30/0631 (2013.01); G09B 5/062 (2013.01); G10L 25/78 (2013.01); G10L 2025/783 (2013.01);
Abstract

Provided is a method and system for recommending an e-book. A processor may collect reader data related to a plurality of e-books from a plurality of user devices. The processor may determine an interest score for each section of a plurality of sections of each e-book. The processor may identify a set of sections from the plurality of sections that meet a predetermined interest score threshold. The processor may analyze the set of sections to determine a sentimental score for each section. The processor may generate a scoring matrix using the interest score and the sentimental score for each section of each e-book. The processor may compare scoring matrices of each e-book of the plurality of e-books. The processor may identify two or more e-books having similar scoring matrices. The processor may provide a recommendation to a user based on the identified two or more e-books.


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