UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2305826


Registration ID:
516339

Page Number

h966-h970

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Title

An Improved Prediction System for Movie Hit and to Target Audience Using Enhanced Content Based Recommender System(CBRS)

Abstract

One of the essential elements of our daily amusement is the movie. One of the largest, most important, and capturing the interest of audiences of every generation is the global film business. Recent research found that only a small number of films are commercially successful. Everyone who participates in film making is under tremendous strain as a result of industry uncertainty. Movie producers and academics continue to believe that it is essential to have certain specialized systems that can reasonably estimate a movie's likelihood of success prior to its creation. Most of the research was done to gauge how popular the film would be when it was finished. We must do the forecast in the early stage in order to assist the filmmaker in estimating the upcoming picture and making the required alterations give insights regarding the future film and describe the current state of film development.

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"An Improved Prediction System for Movie Hit and to Target Audience Using Enhanced Content Based Recommender System(CBRS)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.h966-h970, May-2023, Available :http://www.jetir.org/papers/JETIR2305826.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Improved Prediction System for Movie Hit and to Target Audience Using Enhanced Content Based Recommender System(CBRS)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pph966-h970, May-2023, Available at : http://www.jetir.org/papers/JETIR2305826.pdf

Publication Details

Published Paper ID: JETIR2305826
Registration ID: 516339
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: h966-h970
Country: Sangareddy, Telangana, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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