US 11,863,641 B1
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 Sep. 1, 2022, as Appl. No. 17/901,788.
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;
identifying, by the central database system, characteristics of a target user and web pages viewed by the target user; and
predicting, by the central database system, a next web page viewed by the target user by applying the machine-learned model to the characteristics of the target user and the web pages viewed by the target user.