Oracle international corporation (20240338233). Form Field Recommendation Management simplified abstract

Form Field Recommendation Management

Organization Name

oracle international corporation

Inventor(s)

Subash Bhamidipati of Issaquah WA (US)

Kuldip Oberoi of Milpitas CA (US)

Karan Nayyar of Foster City CA (US)

John Ray Thomas of Aptos CA (US)

Blake Thomas Sullivan of San Francisco CA (US)

Raj Karpana Alagumalai of Redmond WA (US)

Van Hieu Tran of Pflugerville TX (US)

Kevin Ng of Hampshire (GB)

Form Field Recommendation Management - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240338233 titled 'Form Field Recommendation Management

The patent application describes techniques for generating recommendations for form fields based on user interaction data with a digital form. The system analyzes the data against criteria specified in data object resources to determine when recommendations should be allowed or prohibited for attribute fields of business objects mapped to form fields.

• System obtains user interaction data from a digital form
• Digital form includes form fields mapped to attribute fields of data object resources
• Data object resources specify criteria for recommendation enablement
• System compares user interaction data with recommendation enablement criteria
• If criteria are met, a recommendation-type machine learning model generates recommendations for form fields

1. 1. 1. Potential Applications:

This technology can be applied in various industries such as e-commerce, customer relationship management, and data analytics software to enhance user experience and streamline data entry processes.

1. 1. 1. Problems Solved:

- Streamlining data entry processes - Improving user experience with digital forms - Providing personalized recommendations based on user interactions

1. 1. 1. Benefits:

- Increased efficiency in data entry - Enhanced user experience - Personalized recommendations for users

1. 1. 1. Commercial Applications:

The technology can be utilized in CRM systems, online shopping platforms, and data collection tools to improve user engagement, increase conversion rates, and optimize data entry processes.

1. 1. 1. Questions about the Technology:
         1. 1. How does this technology improve user experience with digital forms?

This technology enhances user experience by providing personalized recommendations based on user interactions, making the form-filling process more efficient and user-friendly.

1. 1. 1. 1. 2. What are the potential commercial applications of this technology?

This technology can be applied in various industries such as e-commerce, CRM systems, and data analytics software to enhance user experience, streamline data entry processes, and improve overall efficiency.

Original Abstract Submitted

techniques for generating recommendations for form fields are disclosed. a system obtains user interaction data based on a user's interaction with a digital form. the digital form includes form fields mapped to attribute fields of data object resources. the data object resources specify criteria for when recommendations should be permitted or prohibited for the attribute fields of the business objects. the system obtains the criteria from the data object resources corresponding to the form fields in the digital form. the system compares the user interaction data with the recommendation enablement criteria to determine whether to allow the generation and presentation of recommendations for respective form fields. if the recommendation enablement criteria are met, the system applies a recommendation-type machine learning model to a set of input data including the user interaction data to generate a set of recommendations for a form field.