17944775. DETECTION OF TERMINOLOGY UNDERSTANDING MISMATCH CANDIDATES simplified abstract (MICROSOFT TECHNOLOGY LICENSING, LLC)

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DETECTION OF TERMINOLOGY UNDERSTANDING MISMATCH CANDIDATES

Organization Name

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Torbjørn Helvik of Olso (NO)

Jon Meling of Tromsø (NO)

Jan-Ove Almli Karlberg of Tromsø (NO)

DETECTION OF TERMINOLOGY UNDERSTANDING MISMATCH CANDIDATES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17944775 titled 'DETECTION OF TERMINOLOGY UNDERSTANDING MISMATCH CANDIDATES

Simplified Explanation

The disclosed technology involves detecting terminology understanding mismatch candidates by analyzing input content, identifying topics and people associated with the content, determining the proficiency of each person in each identified topic, evaluating if the proficiency meets a threshold, and suggesting remedies for topics where the threshold is not met.

  • Input content is analyzed to identify topics and people associated with the content.
  • Proficiency levels of each person in each identified topic are determined.
  • Evaluation is done to check if the proficiency meets a set threshold for each topic.
  • Remedies are suggested for topics where the proficiency does not meet the threshold.

Potential Applications

This technology could be applied in educational settings to identify areas where students may need additional support or resources based on their proficiency levels in different topics.

Problems Solved

This technology helps in identifying and addressing terminology understanding mismatches, ensuring that individuals have the necessary knowledge and skills in various topics.

Benefits

- Improved understanding of individuals' proficiency levels in different topics. - Customized suggestions for improving proficiency in areas where thresholds are not met.

Potential Commercial Applications

The technology could be used in training programs, language learning platforms, and professional development tools to provide personalized feedback and recommendations for improvement.

Possible Prior Art

One possible prior art could be systems that analyze language proficiency or educational assessments to provide personalized recommendations for improvement.

Unanswered Questions

How does this technology handle privacy and data security concerns?

The article does not address how the technology ensures the protection of sensitive data related to individuals' proficiency levels and personal information.

What are the potential limitations or biases in the proficiency evaluation process?

The article does not discuss any potential limitations or biases that may arise in determining individuals' proficiency levels in different topics.


Original Abstract Submitted

The disclosed technology is generally directed to detecting terminology understanding mismatch candidates. In one example of the technology, input content is received. Topics associated with the input content are identified. For each identified topic, topic information that corresponds to the identified topic is obtained. People associated with the input content are identified. For each identified person, person information that corresponds to the identified person is obtained. Based on the obtained topic information and the obtained person information, for each identified person: a level of proficiency of the identified person in each of the identified topics is determined. For each of the identified topics, whether the determined level of proficiency of the identified person meets a threshold that is associated with the identified topic is evaluated. For each determined level of proficiency that does not meet the threshold that is associated with the identified topic, a remedy is suggested.