Matrix Factorization–based recommender system built from scratch and with cmfrec, evaluated using RMSE, Precision@K, and Recall@K on the Yelp dataset.
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Updated
Feb 11, 2026 - Jupyter Notebook
Matrix Factorization–based recommender system built from scratch and with cmfrec, evaluated using RMSE, Precision@K, and Recall@K on the Yelp dataset.
Week 5 project: build a hybrid retriever that fuses FAISS dense vectors with SQLite FTS5/BM25 keyword search (RRF/weighted fusion), plus a Supervised Fine-Tuning (SFT) pipeline (Full FT vs LoRA/QLoRA) using TRL/PEFT/DeepSpeed.
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