Maurizio Ferrari Dacrema

RecSys2019_DeepLearning_Evaluation. 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.

RecSys_Course_AT_PoliMi. ⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Recommender Systems course at Politecnico di Milano.

recsys-challenge-2020-twitter. The complete code and notebooks used for the ACM Recommender Systems Challenge 2020 by our team BanaNeverAlone at Politecnico di Milano

RecSys_Course_2017. DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.

recsys-challenge-2019-trivago. The complete code and notebooks used for the ACM Recommender Systems Challenge 2019 by our team Policloud8 at Politecnico di Milano

CFeCBF. 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"

KDD_18_xDeepFM-forked. Python

SIGIR_17_neural_factorization_machine-forked. TenforFlow Implementation of Neural Factorization Machine

spotify-recsys-challenge. 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.

QuantumJSP. A heuristic approach on how to optimally schedule jobs using D-Wave's quantum computer

SIGIR_18_MTER-forked. SIGIR18‘ Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

WWW_18_DCFA-forked. Codes, datasets, and features for Dynamic Collaborative Filtering with Aesthetic Feature (DCFA)

ICDM_18_TMCA-forked. Code For Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention

KDD_18_rank_distill-forked. A PyTorch implementation of Ranking Distillation