Two-stage e-commerce recommender system (ALS retrieval + SASRec re-ranking) with Optuna tuning, evaluated on RetailRocket and Amazon Video Games datasets
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Updated
Jul 27, 2026 - Jupyter Notebook
Two-stage e-commerce recommender system (ALS retrieval + SASRec re-ranking) with Optuna tuning, evaluated on RetailRocket and Amazon Video Games datasets
PyTorch implementation of SOTA Recommender Systems
Sequential recommendation on Amazon Video Games, built progressively from a bag-of-items baseline to a full self-attention transformer — measuring what attention and positional embeddings each contribute. Streamlit demo included.
Sequential Recommendation Model on MovieLensM1
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