Recommender Systems Lab @ Politecnico di Milano
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Repositories
- RecSys_Course_AT_PoliMi Public Forked from MaurizioFD/RecSys_Course_AT_PoliMi
This is the official repository for the Recommender Systems course at Politecnico di Milano.
recsyspolimi/RecSys_Course_AT_PoliMi’s past year of commit activity - 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
recsyspolimi/recsys-challenge-2024-ekstrabladet’s past year of commit activity - ecir-2022-an-evaluation-of-GAN-for-CF Public Forked from fernandobperezm/ECIR2022-AnEvaluationStudyOfGANsForCF
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.
recsyspolimi/ecir-2022-an-evaluation-of-GAN-for-CF’s past year of commit activity - leri2023 Public
LERI 2023 | Workshop on Learning and Evaluating Recommendations with Impressions @ RecSys 2023
recsyspolimi/leri2023’s past year of commit activity - 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
recsyspolimi/recsys-challenge-2023-sharechat’s past year of commit activity - 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.
recsyspolimi/neurips-2022-ope-side-info’s past year of commit activity - contentwise-impressions Public Forked from ContentWise/contentwise-impressions
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"
recsyspolimi/contentwise-impressions’s past year of commit activity - 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
recsyspolimi/recsys-challenge-2022-dressipi’s past year of commit activity
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