TIME SERIES PREDICTION ON MOVIE RATING DATA
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Date
2020
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Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Psychosocial Rehabilitation, Vol.24, Issue 02
Abstract
Time series is known as method to make prediction based on series of data. It has some benefit in a lot
of research domain including marketing, sport and education area. Movie is popular entertainment part which has a
great number of fans. People choose movie with specific genre and has share some similar interest. This research
use Movielens dataset as input for time series processing. This dataset contains historical data about user, ratings
and datetime. This research implements timeseries on the Movielens dataset to make prediction on rating value by
using fbprophet library. The experiment shows that the algorithm can predict the future rating which approximately
will be chosen by users. Then the objective of this research is to create recommendation based on predicted rating
for whatever movie on the next choice.
Description
Keywords
Time Series, Movie, Ratings, Movielens, Fbprophet