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:
Aug. 15, 2023

Filed:

Jul. 28, 2020
Applicant:

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

Inventors:

Sonali Vijay Inamdar, Redwood City, CA (US);

Rajiv Kumar, Austin, TX (US);

Simon Chow, San Francisco, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2023.01); G06Q 10/0631 (2023.01); G06F 16/2457 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 10/063112 (2013.01); G06F 16/24578 (2019.01); G06N 20/00 (2019.01);
Abstract

Systems and methods for candidate recommendation are provided. Candidate vectors are generated from candidate documents, and an initial ranking is performed according to a distance metric between the candidate vector and an objective vector generated based on an objective document to select a subset of the candidate documents. A feature vector is generated for each of the selected candidate documents. The feature vector includes features derived from a first vectorized representation of content from one of the candidate document and the objective document and a second vectorized representation of content from the one of the candidate document and the objective document. The feature vector is provided to a machine learning model to generate a score for each of the selected candidate documents. The selected candidate documents are ranked according the scores generated at the machine learning model to provide a ranked candidate list.


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