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The Ultimate Movie Recommender Dataset
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Free
About
Contains data about top-rated movies of all time, including some Indian films, sourced from TMDB APIs. This collection was curated to explore cinema history, uncover hidden patterns in movie data, and build advanced recommender systems to help film enthusiasts discover new and exciting movies. It is designed for anyone from die-hard movie buffs to those who simply enjoy a good story.
Columns
- adult: Indicates the type of movie (e.g., adult content).
- backdrop_path: The file path for the movie's backdrop image.
- movie_id: The unique identifier for the movie on TMDB.
- original_language: The original language in which the movie was produced.
- original_title: The movie's title in its native language.
- overview: A brief description or plot summary of the movie.
- popularity: A score indicating the movie's popularity.
- poster_path: The file path for the movie's poster image.
- release_date: The date the movie was released.
- title: The name of the movie in English.
- video: A boolean indicating if a video is available.
- vote_average: The average user rating for the movie.
- vote_count: The total number of votes the movie has received.
- genres: The genres associated with the movie.
- keywords: Short phrases or tags describing the movie.
- cast: Information on the actors who worked on the movie.
- crew: Details of all crew members involved in the movie's production.
Distribution
- Format: movie_data.csv
- Size: 305.8 MB
- Structure: The dataset contains approximately 15,900 rows and 18 columns.
Usage
This dataset is ideal for building and training recommender systems. It can also be used for extensive exploratory data analysis to uncover trends and patterns in the film industry, such as the popularity of certain genres over time, the correlation between budget and ratings, or the characteristics of critically acclaimed films.
Coverage
The dataset covers a wide range of top-rated movies globally, with a specific inclusion of some Indian films. The time range spans from as early as 1895 to films released in the 2020s. The primary language for movie titles is English, with original titles also available.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For building and testing recommendation engine algorithms.
- Film Students and Researchers: For analysing trends in cinema history and storytelling.
- Movie Enthusiasts: To explore movie data, discover new films, and create personalised watchlists.
- Developers: To create applications that help users discover films based on various attributes.
Dataset Name Suggestions
- TMDB Top-Rated Movies Collection
- Cinema Insights: A Recommender System Dataset
- Global Movie Analytics & Credits Data
- The Ultimate Movie Recommender Dataset
Attributes
Original Data Source: The Ultimate Movie Recommender Dataset
QUALITY