Movie Recommender System Comparison of User-based and Item-based Collaborative Filtering Systems

Dwicahya, Imam and Rosa, P. H. and Nugroho, Robertus (2019) Movie Recommender System Comparison of User-based and Item-based Collaborative Filtering Systems. In: Proceedings of the 1st International Conference on Science and Technology for an Internet of Things, 20 October 2018, Yogyakarta, Indonesia.

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Abstract

Collaborative Filtering (CF) is a method that is widely used in recommendation systems. There are two approaches that are often used in CF, namely User-based CF and Item-based CF. The User-based CF approach requires several similar users to predict the rating of a new item. Meanwhile, Item-based CF

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 11:59
Last Modified: 17 Apr 2026 14:40
URI: http://eprints.eai.eu/id/eprint/22145

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