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Design of a Movie Review Rating Prediction (MR2P) Algorithm

Authors: ADETUNJI Oluwatofunmi

Publication Type: Journal article

Journal: International Journal Of Scientific Research In Computer Science, Engineering And Information Technology (ijsrcseit)

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Abstract

Entertainment is no longer just anything that we enjoy occasionally, with over two million spectators a day, the amount generated by the movie industry is huge. The movie sector is one of the biggest contributors to the entertainment industry’s unpredictability in success and failure. The aim of this research work to design an efficient movie recommendation algorithm that will increase prediction accuracy, the Movie Review Rating Prediction (MR2P) was achieved through a systematic review of the existing movie success algorithm. This research work will enable movie stakeholders (producers, directors, crew, cast already in the movie industry or aspirants) to know the kind of movie to invest in which will, in turn, be beneficial in terms of higher profit.

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ADETUNJI,O. . (2020). Design of a Movie Review Rating Prediction (MR2P) Algorithm, 6 (), 423-423.

ADETUNJI,O. . "Design of a Movie Review Rating Prediction (MR2P) Algorithm" 6, no (), (2020): 423-423.

ADETUNJI,O. and . (2020). Design of a Movie Review Rating Prediction (MR2P) Algorithm, 6 (), pp423-423.

ADETUNJIO, . Design of a Movie Review Rating Prediction (MR2P) Algorithm. 2020, 6 ():423-423.

ADETUNJI,Oluwatofunmi , . "Design of a Movie Review Rating Prediction (MR2P) Algorithm", 6 . (2020) : 423-423.

A.Oluwatofunmi , "Design of a Movie Review Rating Prediction (MR2P) Algorithm" vol.6, no., pp. 423-423, 2020.

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