Publication: Revolutionizing research discovery
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Date
2024-05
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Don Mariano Marcos Memorial State University - South La Union Campus
Abstract
Research discovery is a digital library that consists of concise and detailed
information on the thesis/research of DMMMSU-SLUC. The repository features a contentbased recommender system built through machine learning, particularly naturaLlanguage
processing, to suggest related studies based 011 user behavior. The study aimed to develop
a Content-Based Recommender System for DMMMSU Researches. Specifically,
researchers sought to: (1) develop a content-based recommender system for DMMMSU
research using the Rapid Application Development Model; and (2) evaluate the usability
of the proposed system using the lSO/IEC 9126 Software Quality Criteria. HTML, CSS,
and JavaScript were used for the front-end; Python for modeling and data pre-processing;
PHP and Xampp for server-side scripting. BERT achieved the highest similarity score
compared to TF-IDF and BM25. Users could manage accounts, view/search research, and
print/download studies. Administrators managed accounts, institutions, research, and
granted access. The system was rated "Very Much Usable" by 420 respondents using
ISO/lEC 9126 criteria.
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Citation
Pacis, L. L. D., Aquino, S. C. B., Cacayuran, G. M., Fabros, J. A. S., Fang, F. F., & Nario, A. G. (2024) Revolutionizing research discovery: A content-based recommendeder system for the DMMMMSU researches [Unpublished Undergraduate thesis]. Don Mariano Marcos Memorial State University - South La Union Campus, Agoo, La Union.