Abstract: Various embodiments, methods and systems for implementing a form generation system are provided. Generating forms includes dynamic generation, personalization, and optimization of the forms based on automation objects that instruct on how to construct, structure and present forms for personalized data capture experiences. In operation, a form generator engine receives a request from a computing device to access a form. The form generator engine accesses form generation automation rules that are based on form generation parameters and automation objects. Using form generation automation rules, form generation parameters are used to generate automation objects including an annotated schema, a machine learning model, and a layout. Based on the form generation automation rules the automation objects are used to generate the form such that at least a field or a section of the form is selected based on a relevance score associated with field or section. The form is communicated for display.

Abstract: Various embodiments, methods and systems for implementing a form generation system are provided. Generating forms includes dynamic generation, personalization, and optimization of the forms based on automation objects that instruct on how to construct, structure and present forms for personalized data capture experiences. In operation, a form generator engine receives a request from a computing device to access a form. The form generator engine accesses form generation automation rules that are based on form generation parameters and automation objects. Using form generation automation rules, form generation parameters are used to generate automation objects including an annotated schema, a machine learning model, and a layout. Based on the form generation automation rules the automation objects are used to generate the form such that at least a field or a section of the form is selected based on a relevance score associated with field or section. The form is communicated for display.

Abstract: Various embodiments, methods and systems for implementing a form generation system are provided. Generating forms includes dynamic generation, personalization, and optimization of the forms based on automation objects that instruct on how to construct, structure and present forms for personalized data capture experiences. In operation, a form generator engine receives a request from a computing device to access a form. The form generator engine accesses form generation automation rules that are based on form generation parameters and automation objects. Using form generation automation rules, form generation parameters are used to generate automation objects including an annotated schema, a machine learning model, and a layout. Based on the form generation automation rules the automation objects are used to generate the form such that at least a field or a section of the form is selected based on a relevance score associated with field or section. The form is communicated for display.

Abstract: Electronic form creation techniques are disclosed which automatically recommend candidate form objects to include in an electronic form being created. In some examples, a method may include receiving a request to create an electronic form, identifying a preceding N form objects created in the electronic form, identifying a candidate form object based on the identified preceding N form objects and one or more relationships between pre-existing form objects, and recommending the candidate form object for creation in the electronic form. The pre-existing form objects are included in multiple pre-existing forms. The method may further include identifying the one or more relationships between pre-existing form objects. The pre-existing forms may be selected, for example, based on information associated with the request (e.g., form type, an ID indicating identity of author creating the form, and/or ID indicating identity of a group to which the form author belongs).

Abstract: Various embodiments, methods and systems for implementing a form generation system are provided. Generating forms includes dynamic generation, personalization, and optimization of the forms based on automation objects that instruct on how to construct, structure and present forms for personalized data capture experiences. In operation, a form generator engine receives a request from a computing device to access a form. The form generator engine accesses form generation automation rules that are based on form generation parameters and automation objects. Using form generation automation rules, form generation parameters are used to generate automation objects including an annotated schema, a machine learning model, and a layout. Based on the form generation automation rules the automation objects are used to generate the form such that at least a field or a section of the form is selected based on a relevance score associated with field or section. The form is communicated for display.

Abstract: Electronic form creation techniques are disclosed which automatically recommend candidate form objects to include in an electronic form being created. In some examples, a method may include receiving a request to create an electronic form, identifying a preceding N form objects created in the electronic form, identifying a candidate form object based on the identified preceding N form objects and one or more relationships between pre-existing form objects, and recommending the candidate form object for creation in the electronic form. The pre-existing form objects are included in multiple pre-existing forms. The method may further include identifying the one or more relationships between pre-existing form objects. The pre-existing forms may be selected, for example, based on information associated with the request (e.g., form type, an ID indicating identity of author creating the form, and/or ID indicating identity of a group to which the form author belongs).