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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

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