<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

Publié en ligne: 26 juin 2023

Pages: 2795 - 2804

Reçu: 17 juil. 2022

Accepté: 03 janv. 2023

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

Mots clés
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

Publié en ligne: 26 juin 2023

Pages: 2795 - 2804

Reçu: 17 juil. 2022

Accepté: 03 janv. 2023

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

Mots clésOnline 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.

Mots clés
Online education platform, Personalized recommendation, Online learning resources, Intelligent Education