US 12,267,400 B2
Predictive web navigation
John Edward Schlerf, Oakland, CA (US); Nicholas Lee Gaylord, Alameda, CA (US); and Melanie Manguin, San Francisco, CA (US)
Assigned to ZenPayroll, Inc., San Francisco, CA (US)
Filed by ZenPayroll, Inc., San Francisco, CA (US)
Filed on Nov. 15, 2023, as Appl. No. 18/509,849.
Application 18/509,849 is a continuation of application No. 17/901,788, filed on Sep. 1, 2022, granted, now 11,863,641.
Prior Publication US 2024/0089336 A1, Mar. 14, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 67/50 (2022.01); G06F 16/954 (2019.01); H04L 67/02 (2022.01)
CPC H04L 67/535 (2022.05) [G06F 16/954 (2019.01); H04L 67/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
tracking, for each of a plurality of users by a central database system, a number and order of web pages within a domain viewed by the user;
generating, by the central database system, a training data set using, for each of the plurality of users, the tracked number and order of web pages within the domain viewed by the user and one or more characteristics of the user;
training, by the central database system, a machine-learned model using the generated training data set, the machine-learned model configured to predict a next web page to be viewed by a viewing user based on previous web pages viewed by the viewing user and characteristics of the viewing user; and
retraining, by the central database system, the machine-learned model based on 1) the predicted next web page, 2) an actual next web page visited by the viewing user, and 3) a pageview history of the viewing user within a same domain as the actual next web page visited by the viewing user.