IMPLEMENTATION OF MOVIE RECOMMENDER SYSTEM ACCURACY BETWEEN MANHATTAN DISTANCE AND EUCLIDEAN DISTANCE

ARIEF, REINALDO FANUEL (2021) IMPLEMENTATION OF MOVIE RECOMMENDER SYSTEM ACCURACY BETWEEN MANHATTAN DISTANCE AND EUCLIDEAN DISTANCE. Other thesis, Universitas Katholik Soegijapranata Semarang.

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Abstract

Movies recommendation system is a very serious matter for people who really enjoys watching a lot of movies and TV shows, every single event happening in a movie streaming services is logged and stored in a database, this include user’s activities such as watching a movie. The goal of this project is to Predict the user’s preferences of movie type and favorites . The evaluation is a benchmark whether the prediction on SVM algorithm have higher accuracy rate than Decision tree or vice-versa depending on the number data and method such as content filtering or collaborative learning

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works
Divisions:	Faculty of Computer Science > Department of Informatics Engineering
Depositing User:	mr AM. Pudja Adjie Sudoso
Date Deposited:	14 Oct 2021 06:38
Last Modified:	14 Oct 2021 06:38
URI:	http://repository.unika.ac.id/id/eprint/27119

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