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.

⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version.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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

common used Recommend Baseline Model, including the traditional statistical model, and the Nerual Network Model. Focus on the SRS (Sequential Recommend System).

基于 pytorch 复现了 Causal Intervention for Leveraging Popularity Bias in Recommendation 中的提到的 Popularity-bias Deconfounding (PD) 和 Popularity-bias Deconfounding and Adjusting (PDA) 方法

A recommender system project, to predict TV shows starting from a URM and ICM matrix dataset. The project passed all the annointed professor baselines.