18534305. SORTING DOCUMENTS ACCORDING TO COMPREHENSIBILITY SCORES DETERMINED FOR THE DOCUMENTS simplified abstract (International Business Machines Corporation)

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 18534305 titled 'SORTING DOCUMENTS ACCORDING TO COMPREHENSIBILITY SCORES DETERMINED FOR THE DOCUMENTS

Simplified Explanation

The patent application describes a system and method for sorting documents based on comprehensibility scores determined for the documents. The system evaluates familiarity scores for topics in the document and calculates a comprehensibility score for the user based on these scores. The order in which the documents are presented to the user is determined by the comprehensibility score.

• Topics associated with sections of text in a document are evaluated for familiarity scores.
• Comprehensibility score of the document is calculated based on the familiarity scores.
• The order in which documents are presented to the user is determined by the comprehensibility score.

Potential Applications

This technology could be applied in educational settings to help students access and understand complex documents more easily. It could also be used in content recommendation systems to personalize the order in which documents are presented to users based on their familiarity with the topics.

Problems Solved

This technology addresses the challenge of presenting information in a way that is easily understandable to users, taking into account their familiarity with the topics being discussed. It helps improve user experience by tailoring the presentation of documents to individual comprehension levels.

Benefits

- Enhanced user experience by presenting documents in an order that maximizes comprehension. - Personalized content delivery based on user familiarity with topics. - Improved learning outcomes by facilitating access to information in a more digestible format.

Potential Commercial Applications

This technology could be valuable for companies in the e-learning industry, content recommendation platforms, and any organization looking to optimize the presentation of information to users based on their comprehension levels.

Possible Prior Art

One possible prior art for this technology could be personalized content recommendation systems that consider user preferences and behavior to suggest relevant content. However, the specific focus on comprehensibility scores based on familiarity with topics may be a unique aspect of this innovation.

How does the system determine the familiarity scores for topics associated with the sections of text in the document?

The method for evaluating familiarity scores for topics is not explicitly detailed in the abstract. It would be interesting to know the specific criteria or algorithms used to determine these scores.

Can the system adapt and update familiarity scores over time as the user interacts with more documents?

The abstract does not mention whether the system has the capability to learn and adjust familiarity scores based on user interactions. Understanding the system's ability to adapt and improve recommendations over time would be valuable information.

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.