FilmView: A Review Paper on Movie Recommendation Systems

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@article{1704718,
      author = {Priyanshu Modi, Atul Kumar, Bhaskar Kapoor},
      title = {FilmView: A Review Paper on Movie Recommendation Systems},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {12},
      pages = {759-764},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704718.pdf},
      abstract = {The proliferation of streaming platforms has led to a vast array of movie options, making it increasingly difficult for users to discover relevant Content. To address this challenge, recommendation systems have emerged as valuable tools for suggesting movies based on user preferences. We discuss the impact of temporal dynamics and social influence in improving recommendation accuracy and effectiveness. Moreover, we emphasize the importance of incorporating explanations to enhance user understanding and satisfaction. Through an examination of evaluation metrics, we assess the performance of these systems. Overall, this review contributes to the knowledge base, providing insights into the strengths, limitations, and future directions of Movie Recommendation Systems.},
      month = {June},
  }