Kim Anh Phung

US Patent:

20220188371, Jun 16, 2022

Filed:

Dec 15, 2020

Appl. No.:

17/122787

Inventors:

- San Francisco CA, US
Taiwo Raphael Alabi - San Jose CA, US
Farzaneh Rajabi - Stanford CA, US
Ashwath Mohan - San Ramon CA, US
Kim Cuong Phung - Hayward CA, US

International Classification:

G06F 16/9538
G06Q 10/10
G06F 16/93
G06F 16/2457
G06F 9/451
G06F 16/9535
G06N 20/00
G06F 40/166
G06F 3/0482

Abstract:

A centralized document system identifies content items for presentation to a user based initially on a cold-start algorithm and subsequently based on machine-learned models. The system detects a first access by the user. The system generates a user attribute vector for the user and a content vector for each content item. The system selects a first content item based on the initial cold-start algorithm and modifies a user interface to include the first content item. The system identifies an interaction with the first content item by the user. The system detects a second access by the user. The system selects a machine-learned model based on a set of interactions by the user with displayed content items. The system applies the selected machine-learned model to the set of interactions and the user attribute vector to identify a second content item and modifies the user interface to include the second content item.

US Patent:

20230092079, Mar 23, 2023

Filed:

Dec 1, 2022

Appl. No.:

18/073160

Inventors:

- San Francisco CA, US
Taiwo Raphael Alabi - San Jose CA, US
Farzaneh Rajabi - Stanford CA, US
Ashwath Mohan - San Ramon CA, US
Kim Cuong Phung - Hayward CA, US

International Classification:

G06F 16/9538
G06Q 10/10
G06F 16/93
G06F 16/2457
G06F 3/0482
G06F 16/9535
G06N 20/00
G06F 40/166
G06F 9/451

Abstract:

A centralized document system identifies content items for presentation to a user based initially on a cold-start algorithm and subsequently based on machine-learned models. The system detects a first access by the user. The system generates a user attribute vector for the user and a content vector for each content item. The system selects a first content item based on the initial cold-start algorithm and modifies a user interface to include the first content item. The system identifies an interaction with the first content item by the user. The system detects a second access by the user. The system selects a machine-learned model based on a set of interactions by the user with displayed content items. The system applies the selected machine-learned model to the set of interactions and the user attribute vector to identify a second content item and modifies the user interface to include the second content item.