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:
Mar. 14, 2023

Filed:

Dec. 10, 2021
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Sandip Ghoshal, Hyderabad, IN;

Nalini Kanta Pattanayak, Hyderabad, IN;

Vivek Peter, Hyderabad, IN;

Hareesh Kadlabalu, Plainview, NY (US);

Assignee:

ORACLE INTERNATIONAL CORPORATION, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/048 (2013.01); G06F 16/2457 (2019.01); G06F 3/0484 (2022.01); G06F 3/0482 (2013.01); G06F 16/248 (2019.01); G06K 9/62 (2022.01); G06F 40/30 (2020.01); G06F 40/247 (2020.01); G06F 40/279 (2020.01); G06V 10/40 (2022.01);
U.S. Cl.
CPC ...
G06F 16/24573 (2019.01); G06F 3/0482 (2013.01); G06F 3/0484 (2013.01); G06F 16/248 (2019.01); G06F 40/247 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06K 9/6267 (2013.01); G06V 10/40 (2022.01);
Abstract

Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number of back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.), may be retrieved and presented to a content author and embedded within original authored content.


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