Scalable dual-tower retrieval pipeline for movie recommendations, implementing in-batch negative sampling and ultra-fast FAISS vector search.
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Updated
May 8, 2026 - Python
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two-tower-model
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Movie recommendation app that utilizes machine-learning to recommend new movies.
python api docker machine-learning end-to-end-machine-learning two-tower-neural-networks movie-recomendation-system two-tower-model
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May 31, 2026 - Python
Transformer-enhanced two-tower recommender on MovieLens-25M with CL-EPIDTN-style contrastive learning for sparse-user and long-tail robustness. FAISS retrieval, neural reranker, FastAPI serving, MLflow experiment tracking, and Ollama-powered recommendation explanations.
python machine-learning information-retrieval deep-learning transformers pytorch embeddings recommendation-system movielens reranking faiss mlops mlflow fastapi sequential-recommendation contrastive-learning retrieval-augmented llmops ollama two-tower-model
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May 21, 2026 - Python
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