Download PDFOpen PDF in browser

Revolutionizing Film Choices: Unveiling the Dominance of Hybrid Movie Recommendation Systems with AI and Machine Learning

EasyChair Preprint 12118

8 pagesDate: February 14, 2024

Abstract

This paper presents a groundbreaking study on the transformative impact of hybrid movie recommendation systems leveraging the power of Artificial Intelligence (AI) and Machine Learning (ML). The research investigates the effectiveness of blending various recommendation algorithms to enhance user satisfaction and optimize film selections. The study employs a comprehensive methodology, analyzes results, discusses challenges, proposes treatments, and concludes with insights into the future of personalized movie recommendations.

Keyphrases: Artificial Intelligence, Film Choices, Hybrid recommendation systems, Personalization, machine learning, user satisfaction

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:12118,
  author    = {Basit Abbas},
  title     = {Revolutionizing Film Choices: Unveiling the Dominance of Hybrid Movie Recommendation Systems with AI and Machine Learning},
  howpublished = {EasyChair Preprint 12118},
  year      = {EasyChair, 2024}}
Download PDFOpen PDF in browser