System and method for the creation and update of hierarchical websites based on collected business knowledge

1 . A computer-implemented method for a website building system (WBS), the method comprising:

analyzing, by utilizing at least one processor, data from one or more systems external and internal to the WBS to determine information required to further a website building process;

based on the determined information, dynamically generating, by utilizing the at least one processor, a questionnaire and gathering answers to the questionnaire from a designer of the WBS;

adjusting, by utilizing the at least one processor, sequence of the questionnaires based on previous answers;

executing, by utilizing the at least one processor, a set of rules and running questionnaires to control adjustments;

analyzing, by utilizing the at least one processor, the gathered answers and the data from the one or more systems to generate information for updating an existing website;

using, by utilizing the at least one processor, at least one of: an artificial intelligence and a machine learning technique to make recommendations for updating layout and content of the existing website according to the-generated information for updating a website;

training the at least one of: an artificial intelligence and a machine learning technique on an analysis of the questionnaire answers from the designer and other users of the WBS regarding at least content of websites within a business or industry of the existing website;

providing, by utilizing the at least one processor, via the trained at least one of an artificial intelligence and a machine learning technique, an evolving and continuously improving interaction with the designer by improving subsequent recommendations; and

optimizing and regenerating, by utilizing the at least one processor, the existing website into an updated website according to the improved recommendations.

2 . The computer-implemented method according to claim 1 wherein the optimizing and regenerating updates is applied to at least one of: content elements and layout elements of the existing website.

3 . The computer-implemented method according to claim 2 and further comprising analyzing, by utilizing the at least one processor, the answers to provide content for the content elements.

4 . The computer-implemented method according to claim 2 wherein the layout elements comprise of at least one of: a layout group and a preset page section.

5 . The computer-implemented method according to claim 1 wherein the analyzing of data from one or more systems external and internal to the WBS comprises:

matching between the analyzed data and content element fields; and

at least one of:

importing information from relevant social media sites;

extracting and importing related information from data feeds; and

importing and analyzing relevance of information from websites external to the WBS.

6 . The computer-implemented method according to claim 5 wherein the-analyzing of data further comprises at least one of:

analyzing, by utilizing the at least one processor, information about the designer from the WBS while maintaining designer privacy;

analyzing, by utilizing the at least one processor, general BI (business information) stored by the WBS; and

analyzing, by utilizing the at least one processor, editing history of the designer.

7 . The computer-implemented method according to claim 1 wherein the analyzing the questionnaire answers comprises the use of natural language processing.

8 . A website building system (WBS), the WBS comprising:

at least one processor;

at least one analyzer running on the at least one processor to analyze data from one or more systems external and internal to the WBS to determine information required to further a website building process, to analyze gathered answers to a questionnaire and the data from the one or more systems to generate information for updating an existing website;

the at least one processor adjusting sequence of the questionnaires based on previous answers;

the at least one processor executing a set of rules and running questionnaires to control adjustments;

a questionnaire generator running on the at least one processor, based on the determined information, dynamically generate the questionnaire and gather the answers from a designer of the WBS;

an ML/AI (machine learning/artificial intelligence) engine running on the at least one processor to make recommendations for updating layout and content of the existing website according to the generated information for updating a website;

wherein the ML/AI engine is trained on an analysis of the questionnaire answers from the designer and other users of the WBS regarding at least content of websites within a business or industry of the existing website;

wherein the ML/AI engine provides an evolving and continuously improving interaction with the designer by improving subsequent recommendations; and

a site generation system running on the at least one processor to optimize and regenerate the existing website into an updated website according to the improved recommendations.

9 . The WBS according to claim 8 wherein the site generation system updates at least one of: content elements and layout elements of the existing website.

10 . The WBS according to claim 9 and wherein the at least one analyzer running on the at least one processor comprises an answer analyzer to analyze the answers to provide content for the content elements.

11 . The WBS according to claim 9 wherein the layout elements comprise of at least one of: a layout group and a preset page section.

12 . The WBS according to claim 8 wherein the-at least one analyzer running on the at least one processor comprises:

a data matcher running on the at least one processor to match between extracted and analyzed information and content element fields;

and at least one of:

a social media importer running on the at least one processor to import information from relevant social media sites;

a data feed importer running on the at least one processor to extract and import information from data feeds; and

an external website importer and analyzer running on the at least one processor to import and analyze relevance of websites external to the WBS.

13 . The WBS according to claim 12 wherein the-at least one analyzer running on the at least one processor further comprises at least one of:

an additional user data analyzer running on the at least one processor to analyze information about the designer from the WBS while maintaining designer privacy;

a BI (business intelligence) analyzer running on the at least one processor to analyze general BI stored by the WBS; and

an editing history analyzer running on the at least one processor to analyze editing history of the designer.

14 . The WBS according to claim 10 wherein the answer analyzer uses natural language processing.