Review and Analysis of Intelligent Recommendation System Using Machine Learning Approaches

Ngai Cheong
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Abstract

Recommending Algorithms (RA) on the teaching of Computer Science (CS) are applied in the universities to provide the CS students with personalized E-Learning environments, by automatically identifying their preferences and the situations on Conceptual Learning (CL). This paper explores that the basic RAs that may be used in e-learning environments. The basic ideas of these techniques together with how they are used to fulfill the specific requirements and their cognition, and the context applied in e-Learning environments, which are presented for supporting the learners to be better understood the current CS development at the Macao Polytechnic University (MPU).
基于机器学习方法的智能推荐系统综述与分析
推荐算法(RA)在大学计算机科学(CS)教学中的应用,通过自动识别学生的偏好和概念学习(CL)的情况,为CS学生提供个性化的E-Learning环境。本文探讨了可能在电子学习环境中使用的基本RAs。本文介绍了这些技术的基本思想,以及它们如何被用来满足特定的需求和认知,以及在电子学习环境中应用的背景,以帮助学习者更好地了解澳门理工大学当前的计算机科学发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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