E-commerce Recommender System Using PCA and K-Means Clustering

E-commerce Recommender System Using PCA and K-Means Clustering

Recently, recommender system has an important role in e-commerce to market products for users. One of recommender system approach that used in e-commerce is Collaborative Filtering. This system works by providing product recommendations based on products liked by other users who have similar prefere...

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Bibliographic Details
Main Authors: Dendy Andra, Abdurahman Baizal baizal
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2022-02-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
recommender system, collaborative filtering, principal component analysis, k-means, e-commerce
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/3782

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http://jurnal.iaii.or.id/index.php/RESTI/article/view/3782

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