Sistem Rekomendasi Suku Cadang Berdasarkan Item Based Filtering

Replaceable spare part on workshop have many transaction and possibility thus recommender system is needed to simplify the selection process. We propose recommender system with item collaborative filtering, with high data sparsity. With Single Value Decomposition we reduce the matriks to improve the...

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Bibliographic Details
Main Authors: Christian Wibisono, Lucky Surya Haryadi, Juan Elisha Widyaya, Swat Lie Liliawati
Format: Article
Language:English
Published: Universitas Kristen Maranatha 2021-04-01
Series:JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Online Access:https://journal.maranatha.edu/index.php/jutisi/article/view/3036