Work

The red culture based on the generative enhancing model of a dynamic learning suggestion system

Year: 2025

Type: conference-paper

Abstract: Using a generative enhancement model to increase the intelligence level of cultural education, this paper proposes a new dynamic learning recommendation system for red culture. Through the integration of improved algorithms and the optimization of system functions, it makes accurate personalized suggestions, and integrates the real-time feedback mechanism to dynamically change the learning process of users, which greatly improves the efficiency and increase the level of engagement.

Source: International Conference on Big Data and Informatization Education (ICBDIE)

DOI: 10.1145/3729605.3729609

Author: Mingli Sun

Institution: Changchun University of Architecture and Civil Engineering

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

Funder: People's Government of Jilin Province