Reconstruction and Innovation of the Movie Rating Mechanism in the Streaming Media Era

This paper focuses on the reconstruction and innovation of the movie rating mechanism in the streaming media era, and conducts an in - depth analysis of the problems of the traditional rating mechanism in the context of streaming media. By studying the characteristics of streaming media platforms and user behavior, it explores the necessity and feasibility of reconstructing the rating mechanism. It proposes to carry out innovation from aspects such as expanding the rating subjects, introducing multi - dimensional evaluation indicators, and using big data and artificial intelligence technologies to ensure the authenticity of ratings. The aim is to build a more scientific, fair, and comprehensive movie rating system to promote the healthy development of the movie industry in the streaming media era and provide more valuable movie evaluation information for audiences.

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Publication Details

Journal
Lecture Notes in Education Arts Management and Social Science
Published
2025-05-26
DOI
https://doi.org/10.18063/lne.v3i4.963
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
0.00
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article

Reconstruction and Innovation of the Movie Rating Mechanism in the Streaming Media Era

Lecture Notes in Education Arts Management and Social Science
Theoretical and Computational Physics
article

Reconstruction and Innovation of the Movie Rating Mechanism in the Streaming Media Era

article en

Abstract

This paper focuses on the reconstruction and innovation of the movie rating mechanism in the streaming media era, and conducts an in - depth analysis of the problems of the traditional rating mechanism in the context of streaming media. By studying the characteristics of streaming media platforms and user behavior, it explores the necessity and feasibility of reconstructing the rating mechanism. It proposes to carry out innovation from aspects such as expanding the rating subjects, introducing multi - dimensional evaluation indicators, and using big data and artificial intelligence technologies to ensure the authenticity of ratings. The aim is to build a more scientific, fair, and comprehensive movie rating system to promote the healthy development of the movie industry in the streaming media era and provide more valuable movie evaluation information for audiences.

Lecture Notes in Education Arts Management and Social ScienceVol. 3(4)
Cheongju University (KR)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Theoretical and Computational Physics
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