dmckinney-ml/movie-recommender-artifacts
π¬ Two-Tower + FAISS + XGBoost Recommender β Inference Artifacts This dataset contains the serialized inference artifacts for the Two-Stage Movie Recommendation System built using TensorFlow Recommenders, FAISS, and XGBoost. These artifacts support low-latency retrieval and ranking for the deployed Hugging Face Space: π Space: two-tower-faiss-xgb-recommender π Overview The recommendation system follows a two-stage architecture: Retrieval (Stage 1)β¦ See the full description on the dataset page: https://huggingface.co/datasets/dmckinney-ml/movie-recommender-artifacts.
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