2020
DOI: 10.20944/preprints202001.0124.v1
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Design of an Unsupervised Machine Learning-Based Movie Recommender System

Abstract: 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 movie with the existing features. In this study, the recommender system development is established by using several algorithms to obtain groupings, such as the K-Means algorithm, birch algorithm, mini-batch K-Means … Show more

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Cited by 6 publications
(1 citation statement)
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“…speech recognition [5], predictive analytics [6] [7] [8] [9] [10] and recommendation systems [11] [12] [13] [14].There is a great success of machine and deep learning techniques in a wide range of elds specially in the current Big Data Era [15], [16]. With the presence of Big Data, it is necessary to have data science, as well as a large number of data scientists with good experience and strong knowledge so that they can handle that massive size of data which is produced daily.…”
Section: Introductionmentioning
confidence: 99%
“…speech recognition [5], predictive analytics [6] [7] [8] [9] [10] and recommendation systems [11] [12] [13] [14].There is a great success of machine and deep learning techniques in a wide range of elds specially in the current Big Data Era [15], [16]. With the presence of Big Data, it is necessary to have data science, as well as a large number of data scientists with good experience and strong knowledge so that they can handle that massive size of data which is produced daily.…”
Section: Introductionmentioning
confidence: 99%