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sasrec

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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.

  • Updated Jun 10, 2026
  • Python

State-space (S4) sequential recommender for next-item prediction: a from-scratch Structured State-Space kernel (DPLR/HiPPO, bilinear+ZOH, FFT long-conv) that beats a SASRec baseline (+11% Hit@10 / +14% NDCG@10) on Amazon Reviews under a leakage-free timestamp leave-one-out split.

  • Updated Jun 14, 2026
  • Python

A fully implemented AI Template Kit for building, understanding, and deploying real-world recommendation systems. Covers collaborative filtering, matrix factorization, content-based models, deep learning approaches. Includes ready-to-use code, service deployment logic, evaluation workflows, and step-by-step explanations.

  • Updated Jun 30, 2025
  • Jupyter Notebook

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