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. 27, 2024

Filed:

May. 31, 2022
Applicant:

6sense Insights, Inc., San Francisco, CA (US);

Inventors:

Rohit Kewalramani, Pune, IN;

Justin Chien, Campbell, CA (US);

Assignee:

6SENSE INSIGHTS, INC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/951 (2019.01); G06N 3/04 (2023.01); G06N 3/082 (2023.01); G06F 40/205 (2020.01);
U.S. Cl.
CPC ...
G06F 16/951 (2019.01); G06F 40/205 (2020.01); G06N 3/04 (2013.01); G06N 3/082 (2013.01);
Abstract

Machine-learning-aided automatic taxonomy for web data. In an embodiment, a training dataset of annotated features is used to train a model to predict a class in a taxonomy of web-based activities. The features may be derived from a uniform resource locator (URL) of an online resource and associated metadata. During operation, the features may be extracted from the URL and metadata of each activity record in web data. The trained model may be applied to the extracted features for each activity record to predict a class within the taxonomy. The predicted taxonomic class may be stored in association with the URL that was extracted from the activity record to produce a taxonomized URL.


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