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

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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

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Python

Assignment Recommendation System using Collaborative Filtering for Implicit Feedbacks This project provides APIs for recommendation of assignments for a user based on implicit feedbacks and recommendation of assignments based on implicit relations using Machine Learning

machine-learning ai dct implicit-feedbacks

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francescoperessini / Recommender-System-PoliMi-2019

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Recommender System 2019 Challenge PoliMi

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

Updated
Python

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