<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper introduces the student-centered new intelligent, comprehensive teaching model. This paper uses the accumulated user behavior data on the platform to build a personalized recommendation model. The system provides a personalized learning route for students to choose learning strategies and resources. This method converts the user’s learning process into the user’s evaluation of the system to solve the problem of the scoring matrix. Secondly, it proposes to improve users’ similarity based on their initial marking to overcome the personalized model concept of cold start questioning of new customers effectively. Examples show that the proposed method can improve the efficiency of personalized recommendations.</p>
</abstract>

This paper introduces the student-centered new intelligent, comprehensive teaching model. This paper uses the accumulated user behavior data on the platform to build a personalized recommendation model. The system provides a personalized learning route for students to choose learning strategies and resources. This method converts the user’s learning process into the user’s evaluation of the system to solve the problem of the scoring matrix. Secondly, it proposes to improve users’ similarity based on their initial marking to overcome the personalized model concept of cold start questioning of new customers effectively. Examples show that the proposed method can improve the efficiency of personalized recommendations.

Comprehensive Sex Education Model of College Students Based on Personalized Recommendation Algorithm

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper introduces the student-centered new intelligent, comprehensive teaching model. This paper uses the accumulated user behavior data on the platform to...

Comprehensive Sex Education Model of College Students Based on Personalized Recommendation Algorithm

Online veröffentlicht: 26. Juni 2023

Seitenbereich: 2795 - 2804

Eingereicht: 17. Juli 2022

Akzeptiert: 03. Jan. 2023

DOI: https://doi.org/10.2478/amns.2023.1.00459

Schlüsselwörter
Online education platform, Personalized recommendation, Online learning resources, Intelligent Education

© 2023 Peiqing Han, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Comprehensive Sex Education Model of College Students Based on Personalized Recommendation Algorithm

Online veröffentlicht: 26. Juni 2023

Seitenbereich: 2795 - 2804

Eingereicht: 17. Juli 2022

Akzeptiert: 03. Jan. 2023

DOI: https://doi.org/10.2478/amns.2023.1.00459

SchlüsselwörterOnline education platform, Personalized recommendation, Online learning resources, Intelligent Education

© 2023 Peiqing Han, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Online education platform, Personalized recommendation, Online learning resources, Intelligent Education