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:
š Space: two-tower-faiss-xgb-recommender
š Overview
The recommendation system follows a two-stage architecture:
Retrieval (Stage 1)⦠See the full description on the dataset page: https://huggingface.co/datasets/dmckinney-ml/movie-recommender-artifacts.