Solution to Scalability and Sparsity Problems in Collaborative Filtering using K-Means Clustering and Weight Point Rank (WP-Rank)

Solution to Scalability and Sparsity Problems in Collaborative Filtering using K-Means Clustering and Weight Point Rank (WP-Rank)

Collaborative filtering is a method that can be used in recommendation systems. Collaborative Filtering works by analyzing rating data patterns. It is also used to make predictions of interest to users. This process begins with collecting data and analyzing large amounts of information on the behavi...

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Bibliographic Details
Main Authors: Mohamad Fahmi Hafidz, Sri Lestari
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2023-08-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
collaborative filtering
k-means
scalability
sparsity
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/4543

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http://jurnal.iaii.or.id/index.php/RESTI/article/view/4543

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