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. 01, 2022

Filed:

Jan. 16, 2015
Applicant:

Hewlett-packard Development Company, L.p., Houston, TX (US);

Inventors:

Lei Liu, Palo Alto, CA (US);

Georgia Koutrika, Palo Alto, CA (US);

Jerry J Liu, Palo Alto, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 40/284 (2020.01); G06F 16/332 (2019.01); G06F 16/30 (2019.01); G06F 16/36 (2019.01); G06F 16/35 (2019.01); G06F 16/31 (2019.01); G06F 40/106 (2020.01);
U.S. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 16/30 (2019.01); G06F 16/3323 (2019.01); G06F 16/35 (2019.01); G06F 16/36 (2019.01); G06F 16/313 (2019.01); G06F 40/106 (2020.01);
Abstract

Examples associated with reading difficulty level based resource recommendation are disclosed. One example may involve instructions stored on a computer readable medium. The instructions, when executed on a computer, may cause the computer to obtain a set of candidate resources related to a source document. The candidate resources may be obtained based on content extracted from the source document. The instructions may also cause the computer to identify reading difficulty levels of members of the set of candidate resources. The instructions may also cause the computer to recommend a selected candidate resource to a user. The selected candidate resource may be recommended based on subject matter similarity between the selected candidate resource and the source document. The selected candidate resource may also be recommended based on reading difficulty level similarity between the selected candidate resource and the source document.


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