Design of an Unsupervised Machine Learning-Based Movie Recommender System

Design of an Unsupervised Machine Learning-Based Movie Recommender System

This research aims to determine the similarities in groups of people to build a film recommender system for users. Users often have difficulty in finding suitable movies due to the increasing amount of movie information. The recommender system is very useful for helping customers choose a preferred...

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Bibliographic Details
Main Authors: Debby Cintia Ganesha Putri, Jenq-Shiou Leu, Pavel Seda
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Symmetry
Subjects:
affinity propagation
agglomerative spectral clustering
association rule with apriori algorithm
average similarity
birch
clustering performance evaluation
computational time
dunn matrix
mean-shift
mean squared error
mini-batch k-means
recommendations system
k-means
social network analysis
Online Access:https://www.mdpi.com/2073-8994/12/2/185

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https://www.mdpi.com/2073-8994/12/2/185

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