Review and Analysis of Intelligent Recommendation System Using Machine Learning Approaches

Ngai Cheong

doi:10.1145/3568739.3568756

Review and Analysis of Intelligent Recommendation System Using Machine Learning Approaches

Ngai Cheong

Faculty of Applied Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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).

Original language	English
Title of host publication	ICDTE 2022 - 2022 6th International Conference on Digital Technology in Education
Publisher	Association for Computing Machinery
Pages	88-92
Number of pages	5
ISBN (Electronic)	9781450398091
DOIs	https://doi.org/10.1145/3568739.3568756
Publication status	Published - 16 Sept 2022
Event	6th International Conference on Digital Technology in Education, ICDTE 2022 - Virtual, Online, China Duration: 16 Sept 2022 → 18 Sept 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	6th International Conference on Digital Technology in Education, ICDTE 2022
Country/Territory	China
City	Virtual, Online
Period	16/09/22 → 18/09/22

Keywords

Cognition
Computer Science
Conceptual Learning
Learning Environments
Recommending Algorithms

Access to Document

10.1145/3568739.3568756

Cite this

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title = "Review and Analysis of Intelligent Recommendation System Using Machine Learning Approaches",

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).",

keywords = "Cognition, Computer Science, Conceptual Learning, Learning Environments, Recommending Algorithms",

author = "Ngai Cheong",

note = "Publisher Copyright: {\textcopyright} 2022 Association for Computing Machinery.; 6th International Conference on Digital Technology in Education, ICDTE 2022 ; Conference date: 16-09-2022 Through 18-09-2022",

year = "2022",

month = sep,

day = "16",

doi = "10.1145/3568739.3568756",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "88--92",

booktitle = "ICDTE 2022 - 2022 6th International Conference on Digital Technology in Education",

}

Cheong, N 2022, Review and Analysis of Intelligent Recommendation System Using Machine Learning Approaches. in ICDTE 2022 - 2022 6th International Conference on Digital Technology in Education. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 88-92, 6th International Conference on Digital Technology in Education, ICDTE 2022, Virtual, Online, China, 16/09/22. https://doi.org/10.1145/3568739.3568756

Review and Analysis of Intelligent Recommendation System Using Machine Learning Approaches. / Cheong, Ngai.
ICDTE 2022 - 2022 6th International Conference on Digital Technology in Education. Association for Computing Machinery, 2022. p. 88-92 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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).

KW - Cognition

KW - Computer Science

KW - Conceptual Learning

KW - Learning Environments

KW - Recommending Algorithms

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ER -

Review and Analysis of Intelligent Recommendation System Using Machine Learning Approaches

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Keywords

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