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

EasyChair Preprint 12118

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

@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}}