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:
Jun. 14, 2022

Filed:

Dec. 11, 2019
Applicant:

Hrl Laboratories, Llc, Malibu, CA (US);

Inventors:

Victor Ardulov, Long Beach, CA (US);

Aruna Jammalamadaka, Agoura Hills, CA (US);

Tsai-Ching Lu, Thousand Oaks, CA (US);

Assignee:

HRL Laboratories, LLC, Malibu, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06F 16/907 (2019.01); G06N 20/00 (2019.01); G06F 40/284 (2020.01); G06F 40/205 (2020.01); G06N 3/08 (2006.01); G06F 16/903 (2019.01); G06F 40/166 (2020.01); G06F 40/40 (2020.01); G06Q 30/02 (2012.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06K 9/6289 (2013.01); G06F 16/907 (2019.01); G06F 16/90335 (2019.01); G06F 40/166 (2020.01); G06F 40/205 (2020.01); G06F 40/284 (2020.01); G06F 40/40 (2020.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 30/0202 (2013.01); G06Q 30/0255 (2013.01); G06Q 50/01 (2013.01);
Abstract

Described is a system for learning and predicting key phrases. The system learns based on a dataset of historical forecasting questions, their associated time-series data for a quantity of interest, and associated keyword sets. The system learns the optimal policy of actions to take given the associated keyword sets and the optimal set of keywords which are predictive of the quantity of interest. Given a new forecasting question, the system extracts an initial keyword set from a new forecasting question, which are perturbed to generate an optimal predictive key-phrase set. Key-phrase time-series data are extracted for the optimal predictive key-phrase set, which are used to generate a forecast of future values for a value of interest. The forecast can be used for a variety of purposes, such as advertising online.


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