International Journal on Advanced Science, Engineering and Information Technology, Vol. 9 (2019) No. 1, List of accepted papers. , DOI:10.18517/ijaseit.9.1.7579

RateMovie App: Implementation of K-Nearest Neighbors Algorithm in the Development of Decision Support System for Philippine Movie Rating and Classification

Ian Dexter M. Siñel, Benilda Eleonor V. Comendador

Abstract

Movies that are shown in the Philippines, regardless if produced locally (local films) and/or outside the country (foreign films), which are publicly exhibited in the Philippine cinema are evaluated to identify the suited audience. There are many factors that contribute to the classification of the rating for a specific movie. Movies play a vital role for Filipino culture as for some people; these serve as their leisure activity, for other people, these are not just a leisure activity instead a form of visual art that may send important messages to the audiences and/or may re-enact human personal experiences. It is very important to classify the movies correctly without any form of biases. The researcher aimed to develop a decision support system that can be used in predicting movie ratings using historically evaluated movies considering the ratings for different criteria including Sex & Nudity, Violence & Gore, Profanity, Alcohol, Drugs & Smoking and Frightening and Intense Scenes. Along with these considerations are the genres which are associated with a movie. The study conducted revealed that K-Nearest Neighbors algorithm outperforms Naive Bayes and J48/C4.5 Algorithm in classifying Philippine Movie rating with 92.80% accuracy as compared to 68.70% and 56.79% for Naive Bayes and J48/C4.5 algorithm respectively. The developed decision support system implements the K-Nearest Neighbors algorithm to satisfy the objectives mentioned. With this, Review Committees who evaluate movies may have guides in making critical decisions in the domain of movie evaluation.

Keywords:

Movie Application; K-Nearest Neighbors Algorithm; C4.5 Algorithm; Naïve Bayes Algorithm; Decision Support System; Data Mining.

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