MaurizioFD

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"

ICDM_18_TMCA-forked

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

KDD_18_xDeepFM-forked

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

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

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_2017

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

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⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version.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.

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.

MaurizioFD/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.

MaurizioFD/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⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version.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.

MaurizioFD/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

MaurizioFD/dwave

MaurizioFD/MaurizioFD.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

MaurizioFD/SIGIR_22_CGKR

MaurizioFD/SIGIR_22_GDCF

Source code for SIGIR 2022 paper "Geometric Disentangled Collaborative Filtering"

MaurizioFD/SIGIR_22_GDE

SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation

MaurizioFD/SIGIR_22_HAKG

Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.

MaurizioFD/SIGIR_22_HCCF

HCCF, SIGIR 2022

MaurizioFD/SIGIR_22_igcn_cf

MaurizioFD/SIGIR_22_KGCL-SIGIR22

MaurizioFD/SIGIR_22_Multi-Level-Interaction-Reranking

MaurizioFD/SIGIR_22_QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

MaurizioFD/SIGIR_22_ReviewGraph

[SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation

MaurizioFD/SIGIR_22_RGCF

MaurizioFD/SIGIR_22_SGDL

Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.

MaurizioFD/SIGIR_23_AdaMCL

PyTorch implementation of AdaCML

MaurizioFD/SIGIR_23_BSPM

Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

MaurizioFD/SIGIR_23_CGCL-Pytorch-master

Candidate–aware Graph Contrastive Learning for Recommendation

MaurizioFD/SIGIR_23_DCCF

[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"

MaurizioFD/SIGIR_23_DiffRec

Diffusion Recommender Model

MaurizioFD/SIGIR_23_GFormer

[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"

MaurizioFD/WWW22_NCL

[WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".

MaurizioFD/WWW23_AutoCF

[WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"

MaurizioFD/WWW23_BM3

Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23

MaurizioFD/WWW23_MMSSL

[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

MaurizioFD/WWW24_HiGSP

This is the official implementation of HiGSP

MaurizioFD/WWW24_LTGNN-PyTorch

TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"

MaurizioFD/WWW24_RecDCL

RecDCL: Dual Contrastive Learning for Recommendation (WWW'24, Oral)