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. 02, 2021

Filed:

Jan. 18, 2019
Applicant:

Hyperdyne, Inc., Palo Alto, CA (US);

Inventors:

Todd Allen Chapman, Palo Alto, CA (US);

Ivan James Ravlich, Los Altos, CA (US);

Christopher Taylor Hansen, Sunnyvale, CA (US);

Daniel Maren, Los Altos, CA (US);

Assignee:

HYPERNET LABS, INC., Redwood City, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/31 (2019.01); G06F 17/16 (2006.01); G06F 16/33 (2019.01);
U.S. Cl.
CPC ...
G06F 16/313 (2019.01); G06F 16/3344 (2019.01); G06F 16/3347 (2019.01); G06F 17/16 (2013.01);
Abstract

A distributed computing device calculates word counts for each of a set of documents. The word counts are represented as values, each representing a number of times a corresponding word appears in one of the set of documents. The distributed computing device randomly samples the word counts to calculate sampled word counts. The distributed computing device and additional distributed computing devices iteratively execute a process to determine a consensus result for the sampled word counts based on the sampled word counts and additional sampled word counts calculated by the additional distributed computing devices. The distributed computing device determines a latent semantic index (LSI) subspace based on the consensus result for the sampled word count and reflecting contents of the set and additional sets of documents. The distributed computing device projects a document into the LSI subspace to determine the latent semantic content of the document.


Find Patent Forward Citations

Loading…