US 12,271,438 B2
System and method for integrating user feedback into website building system services
Hana Siani Cohen, Holon (IL); Oded Nachshon, Ramat Gan (IL); Noa Stanger, Shimshit (IL); Shai Dekel, Arsuf (IL); Meir Perez, Modi'in-Maccabim-Reut (IL); and Hila Gat, Tel Aviv (IL)
Assigned to Wix.com Ltd., Tel Aviv (IL)
Filed by Wix.com Ltd., Tel Aviv (IL)
Filed on Dec. 19, 2023, as Appl. No. 18/544,625.
Application 18/544,625 is a continuation of application No. 17/693,485, filed on Mar. 14, 2022, granted, now 11,860,968.
Application 17/693,485 is a continuation of application No. 16/878,831, filed on May 20, 2020, granted, now 11,275,815, issued on Mar. 15, 2022.
Claims priority of provisional application 62/970,034, filed on Feb. 4, 2020.
Claims priority of provisional application 62/905,450, filed on Sep. 25, 2019.
Claims priority of provisional application 62/853,191, filed on May 28, 2019.
Claims priority of provisional application 63/027,369, filed on May 20, 2020.
Prior Publication US 2024/0126826 A1, Apr. 18, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 20/20 (2019.01); G06F 11/34 (2006.01); G06F 16/958 (2019.01); G06N 3/045 (2023.01)
CPC G06F 16/972 (2019.01) [G06F 11/3438 (2013.01); G06N 3/045 (2023.01); G06N 20/20 (2019.01)] 16 Claims
OG exemplary drawing
 
1. A website building system (WBS), the system comprising:
a database storing at least websites of a plurality of users of said WBS, and components of said websites; and
a processor implementing a machine learning feedback-based proposal module, the module comprising:
a plurality of per activity AI (artificial intelligence) units, each unit to support at least one specific activity related to said WBS and to provide at least one system suggestion to said users related to its said at least one specific activity, each said per activity AI unit comprising at least one dynamically updatable machine learning model suitable for the activity supported by its said per activity AI unit, wherein said one or more specific activity related to said WBS comprises at least one multi-component task for handling of websites within said WBS;
wherein said at least one dynamically updatable machine learning model is trained using at least different object types and feedback types; and
a feedback system to dynamically update said dynamically updatable machine learning models using any of: (a) implicit feedback about editing behaviors within said WBS (b) explicit feedback to suggestions and at least one proposal from at least said users, and (c) input from a rule engine employing sets of rules generated from a study of the problem domain.