implicit-feedbacks

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SamueleMeta / recommender-systems

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

slim matrix-factorization recommender-system bayesian-optimization polimi elasticnet user-collaborative-filtering item-collaborative-filtering content-based-recommendation alternating-least-squares hybrid-recommender-system implicit-feedbacks rp3beta

Updated Mar 15, 2021
Python

Lodz97 / RecSys-PoliMi-2020

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The objective of the competition was to create the best recommender system for a book recommendation service by providing 10 recommended books to each user. The evaluation metric was MAP@10.

slim matrix-factorization recommender-systems bayesian-optimization polimi elasticnet user-collaborative-filtering item-collaborative-filtering content-based-recommendation alternating-least-squares hybrid-recommender-system implicit-feedbacks p3alpha

Updated Nov 19, 2021
Python

shivam1423 / Book-Recommender-System

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Two-stage book recommender over 103K titles: multi-source retrieval (ALS, item-kNN, BM25, sentence embeddings) → LightGBM LambdaMART ranking. Temporal split, cold-start routing, FastAPI + Docker, GCP/Vertex scaffolding.

information-retrieval collaborative-filtering ranking lightgbm learning-to-rank recommender-system information-retrieval-engine implicit-feedback lambdamart-model mlops lambdamart implicit-feedbacks fastapi information-retrieval-system vertex-ai two-stage-recommender