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@recsyspolimi Recommender Systems Lab @ Politecnico di Milano

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    17 repositories

    • RecSys_Course_AT_PoliMi

      Public
      This is the official repository for the Recommender Systems course at Politecnico di Milano.
      Jupyter Notebook
      •
      GNU Affero General Public License v3.0
      •146•18•0•0•Updated Nov 14, 2024Nov 14, 2024

    • recsys-challenge-2024-ekstrabladet

      Public
      The complete code and notebooks used for the ACM Recommender Systems Challenge 2024 by our team FeatureSalad at Politecnico di Milano
      Jupyter Notebook
      •0•5•0•0•Updated Oct 19, 2024Oct 19, 2024

    • ecir-2022-an-evaluation-of-GAN-for-CF

      Public
      This repository contains the source code and data used in our experiments described in the paper "An evaluation of Generative Adversarial Networks for Collaborative Filtering". Refer to the README file to run our experiments.
      Python
      •
      GNU Affero General Public License v3.0
      •2•1•0•0•Updated Sep 2, 2024Sep 2, 2024

    • leri2023

      Public
      LERI 2023 | Workshop on Learning and Evaluating Recommendations with Impressions @ RecSys 2023
      SCSS
      •
      MIT License
      •0•0•0•0•Updated Jan 9, 2024Jan 9, 2024

    • recsys-challenge-2023-sharechat

      Public
      The complete code and notebooks used for the ACM Recommender Systems Challenge 2023 by our team Gabibboost at Politecnico di Milano
      Jupyter Notebook
      •
      Apache License 2.0
      •6•9•0•0•Updated Aug 5, 2023Aug 5, 2023

    • iir2022

      Public
      IIR 2022 | 12th Italian Information Retrieval Workshop
      SCSS
      •
      MIT License
      •1•0•0•0•Updated May 26, 2023May 26, 2023

    • neurips-2022-ope-side-info

      Public
      This repository contains the code for our paper "Off-Policy Evaluation with Deficient Support Using Side Information", accepted at NeurIPS 2022.
      Python
      •0•3•0•0•Updated Oct 27, 2022Oct 27, 2022

    • recsys-2022-evaluation-of-recsys-with-impressions

      Public
      Python
      •0•0•1•0•Updated Jul 29, 2022Jul 29, 2022

    • contentwise-impressions

      Public
      This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented in our article "ContentWise Impressions: An industrial dataset with impressions included"
      Python
      •
      GNU Affero General Public License v3.0
      •3•0•0•0•Updated Jul 22, 2022Jul 22, 2022

    • recsys-challenge-2022-dressipi

      Public
      The complete code and notebooks used for the ACM Recommender Systems Challenge 2022 by our team Boston Tea Party at Politecnico di Milano
      Jupyter Notebook
      •0•2•0•0•Updated Jul 22, 2022Jul 22, 2022

    • RecSys2019_DeepLearning_Evaluation

      Public
      This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
      Python
      •
      GNU Affero General Public License v3.0
      •248•0•0•0•Updated Jan 19, 2022Jan 19, 2022

    • recsys-challenge-2021-twitter

      Public
      The complete code and notebooks used for the ACM Recommender Systems Challenge 2021 by our team Trial&Error at Politecnico di Milano
      Jupyter Notebook
      •
      Apache License 2.0
      •4•6•1•0•Updated Sep 3, 2021Sep 3, 2021

    • RecSysCarouselEvaluation

      Public
      This repository contains the code for the paper "A Methodology for the Offline Evaluation of RecommenderSystems in a User Interface with Multiple Carousels", published at UMAP Late-Breaking Results 2021.
      Python
      •
      GNU General Public License v3.0
      •1•0•0•0•Updated Jun 5, 2021Jun 5, 2021

    • recsys-challenge-2020-twitter

      Public
      The complete code and notebooks used for the ACM Recommender Systems Challenge 2020 by our team BanaNeverAlone at Politecnico di Milano
      Jupyter Notebook
      •
      Apache License 2.0
      •4•0•0•0•Updated May 3, 2021May 3, 2021

    • spotify-recsys-challenge

      Public
      A complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politecnico di Milano.
      Jupyter Notebook
      •
      Apache License 2.0
      •34•0•0•0•Updated Nov 19, 2020Nov 19, 2020

    • recsys-challenge-2019-trivago

      Public
      The complete code and notebooks used for the ACM Recommender Systems Challenge 2019 by our team Policloud8 at Politecnico di Milano
      Jupyter Notebook
      •17•0•0•0•Updated Aug 29, 2019Aug 29, 2019

    • CFeCBF

      Public
      This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Alleviating New Item Cold Start in Movie Recommendation"
      Python
      •6•0•0•0•Updated Apr 3, 2019Apr 3, 2019