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Educational Information Recommendation System for College Design Based on Apriori Algorithm

Published: 14 January 2023 Publication History

Abstract

Educational information recommendation service is an important factor in realizing educational information sharing. In the massive educational information, users can quickly find the educational information resources they need, meet users' learning needs, and bring users a good learning experience. This paper designs an educational information recommendation system for colleges and universities. The functions provided by the system to users are mainly to facilitate the use of educational information resources. Users can choose subjects or courses to browse resources according to their own interests. This paper uses Mashup technology to integrate various educational information resources, realizes the function of educational information recommendation, and then uses the Apriori algorithm to mine the characteristics of association rules, and obtains the evaluation results of educational resources according to the user's interest in educational resources.

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  • (2023)Apriori Algorithm Based Exam Information Service Web App Design2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)10.1109/AIKIIE60097.2023.10390285(1-9)Online publication date: 2-Nov-2023

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  1. Educational Information Recommendation System for College Design Based on Apriori Algorithm

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    cover image ACM Other conferences
    ICSIE '22: Proceedings of the 11th International Conference on Software and Information Engineering
    October 2022
    111 pages
    ISBN:9781450397063
    DOI:10.1145/3571513
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 14 January 2023

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    Author Tags

    1. Apriori Algorithm
    2. Educational Information
    3. Mashup Technology
    4. Recommender System

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    • Research-article
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    • Refereed limited

    Funding Sources

    • This paper is the stage result of the 2017 Guangdong Province General University Young Innovative Talents Project (Humanities and Social Sciences) Analysis of the Current Situation and Trends of Art and Design Education Research in China Based on Bibliometric Perspective (Project No. 2017WQNCX088).

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    • (2023)Apriori Algorithm Based Exam Information Service Web App Design2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)10.1109/AIKIIE60097.2023.10390285(1-9)Online publication date: 2-Nov-2023

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