International business machines corporation (20240119078). SORTING DOCUMENTS ACCORDING TO COMPREHENSIBILITY SCORES DETERMINED FOR THE DOCUMENTS simplified abstract

SORTING DOCUMENTS ACCORDING TO COMPREHENSIBILITY SCORES DETERMINED FOR THE DOCUMENTS

Organization Name

international business machines corporation

Inventor(s)

Kevin Males of Kings Lynn (GB)

Alistair James Brain of Cambridge (GB)

SORTING DOCUMENTS ACCORDING TO COMPREHENSIBILITY SCORES DETERMINED FOR THE DOCUMENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240119078 titled 'SORTING DOCUMENTS ACCORDING TO COMPREHENSIBILITY SCORES DETERMINED FOR THE DOCUMENTS

Simplified Explanation

The patent application describes a computer program product, system, and method for sorting documents based on comprehensibility scores determined for the documents. The system analyzes the familiarity scores of a user for topics associated with sections of text in a document to determine a comprehensibility score for the document. This score is then used to determine the order in which the document should be presented to the user among a group of documents.

• The system determines familiarity scores for topics in a document based on user preferences.
• Comprehensibility scores are calculated for documents based on the familiarity scores of the user.
• The order in which documents are presented to the user is determined by their comprehensibility scores.

Potential Applications

This technology could be applied in educational settings to personalize learning materials for students based on their familiarity with different topics. It could also be used in content recommendation systems to prioritize documents that are more comprehensible to users.

Problems Solved

This technology addresses the challenge of presenting information in a way that is easily understood by users, taking into account their familiarity with different topics. It helps improve the user experience by tailoring document presentation to individual preferences.

Benefits

- Personalized document sorting based on user familiarity - Enhanced user comprehension of presented materials - Improved efficiency in information delivery

Potential Commercial Applications

- Educational platforms - Content recommendation systems - Knowledge management tools

Possible Prior Art

One possible prior art could be systems that analyze user preferences to recommend content, but this specific approach of sorting documents based on comprehensibility scores determined by user familiarity may be unique in the field.

Unanswered Questions

How does the system ensure the accuracy of familiarity scores for topics?

The patent application does not provide details on the methodology used to determine familiarity scores for topics associated with sections of text in documents.

What measures are in place to protect user data privacy in this system?

The patent application does not address the potential privacy concerns related to analyzing user preferences and familiarity scores for topics.

Original Abstract Submitted

provided are a computer program product, system, and method for sorting documents according to comprehensibility scores determined for the documents. a document has sections of text associated with topics. a determination is made of familiarity scores for a user for the topics associated with the sections of text in the document. a determination is made of a comprehensibility score of the document, indicating comprehensibility of the document to the user, as a function of the determined familiarity scores for the topics in the document. the comprehensibility score for the document is used to determine an order in which to present the document to the user with a group of documents.