MovieLens 20M: Movie Ratings with Poster Images

MovieLens_20M_withPosters is a dataset from Kaggle that combines a large volume of movie ratings with associated poster images. The title suggests it likely contains at least 20 million user ratings for movies, a scale common to the MovieLens research project. The inclusion of posters indicates a multimodal structure, pairing tabular rating data with visual content.

Use Cases

• Train a collaborative filtering model on 20 million user-movie interactions (inferred from domain, verify after download)
• Build a hybrid recommender system using both rating patterns and visual features from posters (inferred from domain, verify after download)
• Conduct visual analysis on movie poster design trends correlated with genre or rating (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science resources.
• The title indicates a substantial scale of at least 20 million data points.
• The dataset name suggests a multimodal combination of tabular ratings and image data.

Limitations

• Metadata is minimal; actual content, column definitions, and data quality require verification after download.
• Row count, file formats, license, author, and last updated date are unknown.
• Data may reflect temporal and user bias inherent to the original MovieLens collection platform.

Provenance

Source

Kaggle