Sunday - December 22, 2024

Machine-Learning System for Clickstream-Based Content Interest Prediction

2024-12-10

ALEXANDRIA, Virginia, Dec. 10 -- CHARLES SCHWAB & CO., INC., San Francisco, California has been assigned a patent (No. US 12165170 B2, initially filed Oct. 30, 2020) developed by four inventors Tajdar Shameem Siddiqui, Ellicott City, Maryland; Stephen Filios, Canton, Michigan; Michelle Schroeder, O'Fallon, Missouri; and Logan Sommers Ahlstrom, Ann Arbor, Michigan, for "Machine-learning system for clickstream-based content interest prediction." . . .

Information Request Form

Name:
Category that best fits the type of business or agency you are affiliated with:	Government Newspaper / Media Business Public Policy Individual / Student Educators
Company Name:
Email:
Phone:
State:

I'd like to have a copy of this article mailed to me.

To also receive a free sample of other Targeted News products check the appropriate boxes below.
Golf Handicap site (FairwayFiles.com)
Products marked with ** can be customized by keywords or areas of interest. If you select them please specify your keywords in the box below:

If we need to contact you please specify your preferred contact method. Have a representative contact me by phone
Have a representative contact me via email

Additonal questions or comments:

Click here for more information or a free trial

Existing Customer Login

Machine-Learning System for Clickstream-Based Content Interest Prediction

Information Request Form

Copyright Targeted News Service 2024