Movie Recommendation Dataset from Hugging Face

Movie recommendation data was uploaded to Hugging Face by user prasoonskrishnan in July 2022. The dataset is categorized as text data and originates from the United States. Specific details on the number of movies, users, or ratings are not provided in the metadata.

Use Cases

• Train a collaborative filtering model using user_id and movie_id columns to predict user ratings.
• Analyze rating patterns and user preferences across different movie genres or release years, if such columns exist.
• Benchmark recommendation algorithms using the implicit or explicit feedback data present in the dataset.

Strengths

• Dataset is hosted on a major platform (Hugging Face) facilitating easy access and integration.
• Metadata indicates the dataset is categorized under '1 K' size, suggesting a manageable scale for experimentation.

Limitations

• The exact number of rows, columns, and specific features is unknown, hindering reproducibility and suitability assessment.
• Data is from 2022 or earlier, which may not reflect current movie catalogs or user preferences.
• Potential geographic bias is indicated as the dataset region is tagged as 'us'.

Provenance

Source

Hugging Face user prasoonskrishnan.

Collection Method

Unknown; likely scraped or compiled from a movie rating platform.

Time Range

null

Freshness

Last updated on 2022-07-14; no update frequency specified.

Geography

United States (inferred from platform tag 'Regionus').