US Patent:
20220294794, Sep 15, 2022
Inventors:
- New York NY, US
Yifan HU - Mountain Lakes NJ, US
Francis HSU - Santa Clara CA, US
Lachlan MAXWELL - Ashburn VA, US
Saurabh TEWARI - Sunnyvale CA, US
Durga Sankari Sundara MANICKAM - Sunnyvale CA, US
International Classification:
H04L 29/06
H04L 29/08
G06N 20/00
G06N 5/04
Abstract:
The disclosed systems and methods provide a novel framework that leverages collected logged-in daily active users (LIDAU) data to drive network traffic to network resources, as well as engage these users to continue or remain engaged with the resources through personalization and customization according to their behaviors and patterns. LIDAU data, which is based on a raw data feed of information from network resources and an identified dataset determined from the raw data feed, is used as a basis to increase LIDAU for a specific user or a set of other users. The determined understanding of LIDAU, and its impact on users as well as the network resources the users are interacting with, enables the framework to personalize the resources that are anticipated as being visited by the users in advance of the users visiting them.