Imputation Missing Value to Overcome Sparsity Problems in The Recommendation System

Imputation Missing Value to Overcome Sparsity Problems in The Recommendation System

missing value; stochastic hot-deck; imputation

A recommendation system is a system that provides suggestions or recommendations for a product or service for its users. One
of the problems encountered in the recommendation system is sparsity, namely the lack of available data for analysis, resulting
in poor performance of the recommendation system because it cannot provide the proper recommendations. On this basis, this
study proposes the mean method and the stochastic Hot-Deck Method to calculate missing values to improve the quality of the
recommendations. The experimental results show that the hot-deck imputation method gives better results than the mean imputation method with smaller RMSE and MAE values, namely 2,706 and 2,691

Sri Lestari, M. Elrico Afdila, Yan Aditiya Pratama

http://jurnal.iaii.or.id

Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association

December 2023

Sri Wahyuni

ISSN Media Electronic: 2580-0760

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