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Predicting Average IMDb Movie Ratings Using Text Embeddings of Movie Metadata

Researchers developed a model to predict average IMDb movie ratings using text embeddings from movie metadata. The approach analyzes textual descriptions and other metadata to forecast audience ratings. This method demonstrates how AI can extract predictive signals from unstructured movie information.

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