Name: Maurizio Ferrari Dacrema
Type: User
Company: Politecnico di Milano
Bio: Assistant Professor, recommender systems evaluation and applied quantum machine learning. Twitter @Maurizio_fd
Twitter: Maurizio_fd
Location: Milano, Italy
Blog: https://mauriziofd.github.io/
Maurizio Ferrari Dacrema's Projects
Implementation of NeuRec (IJCAI 2018)
∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution and a single hyper-parameter.
Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
KDD17_FMG
Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"
Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"
A PyTorch implementation of Ranking Distillation
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A heuristic approach on how to optimally schedule jobs using D-Wave's quantum computer
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019 by our team Policloud8 at Politecnico di Milano
The complete code and notebooks used for the ACM Recommender Systems Challenge 2020 by our team BanaNeverAlone at Politecnico di Milano
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.
Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)
DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.
This is the official repository for the Recommender Systems course at Politecnico di Milano.
TenforFlow Implementation of Neural Factorization Machine
An implementation of Contextual Attention Recurrent Architecture (SIGIR 2018)
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
SIGIR18‘ Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
This is our implementation of ENMF: Efficient Neural Matrix Factorization
Neural Graph Collaborative Filtering, SIGIR2019
Source code for SIGIR 2022 paper "Geometric Disentangled Collaborative Filtering"
SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation
Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.