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All Journal JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga)
Rafi Falih Mulia
Institut Teknologi Bandung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Singular value decomposition model application for e-commerce recommendation system : Aplikasi model dekomposisi nilai tunggal untuk sistem rekomendasi e-commerce Wervyan Shalannanda; Rafi Falih Mulia; Arief Insanu Muttaqien; Naufal Rafi Hibatullah; Annisabelia Firdaus
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 2 No. 2: September 2022
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jitel.v2.i2.2022.103-110

Abstract

A recommendation system is one of the most important things in today’s technology. It can suggest products that match the user’s preferences. Many fields utilize this system, including e-commerce, using various algorithms. This paper used the matrix factorization-based algorithm, singular value decomposition (SVD), to make a recommendation system based on users’ similarities. Afterward, we implement the model against the ModCloth Amazon dataset. The results imply that the SVD algorithm yields the best accuracy compared to other matrix factorization-based algorithms with root mean square error (RMSE) of 1.055586. Then, we optimized the SVD algorithm by changing the hyperparameters of the algorithm to generate better accuracy and yield a model with an RMSE value of 1.041784.
Co-Authors Annisabelia Firdaus Arief Insanu Muttaqien Naufal Rafi Hibatullah Wervyan Shalannanda