Enhancing Pre-Tertiary Students Decision-Making using a Web-Based Admission Recommender System-Reference-Cited by-同舟云学术

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Enhancing Pre-Tertiary Students Decision-Making using a Web-Based Admission Recommender System

Published:2024-04-02 Issue: Volume:9 Page:1-6
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
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Author:

Famodimu Oluwasefunmi¹,Akande Adeyemi²,Fapohunda Kofoworola³,Faluyi Samuel⁴,Balogun Temitayo⁵

Affiliation:

1. Babcock University,Department of Computer Science,Ilisan,Nigeria

2. Louisiana Tech University,Department of Electrical and Electronics Engineering,Ruston,United States

3. Louisiana Tech University,Department of Biomedical Engineering,Ruston,United States

4. Ekiti State Polytechnic,Department of Computer Science,Isan Ekiti,Nigeria

5. Federal University of Technology, Akure,Department of Information Systems,Akure,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10630106.pdf?arnumber=10630106

Reference12 articles.

1. An automated university admission recommender system for secondary school students;Fong

2. A CUSTOMER-CENTRIC APPLICATION FOR A CINEMA HOUSE

3. Evaluating recommender systems from the user’s perspective: survey of the state of the art

4. Recommender Systems: Techniques, Applications, and Challenges

5. Comparative analysis of deep learning models for the detection and classification of Diabetes Retinopathy;Balogun

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