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.
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Updated
May 25, 2023 - Python
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.
A pytorch implementation for BPR (Bayesian Personalized Ranking).
Bayesian Personalized Ranking using PyTorch
Bayesian Personalized Ranking in Python
矩阵分解(BPRMF) + 知识图谱表示学习(TransR) 构建的推荐系统
Repository for PAI-BPR a state of the art Fashion recommendation system capturing user personal preference and attribute interpretability
BPR-Based Recommender Systems for Amazon Dataset
Blocked Process Report. Detailed explanation could be found on Red Gates SimpleTalk's link link 'Building a Custom Blocked Process Report' https://www.red-gate.com/simple-talk/sql/database-administration/building-custom-blocked-process-report/
Set of music recommendation algorithms we implemented to join the annual RecSys Competition at Politecnico di Milano in 2017.
Unofficial Implementation of BPRH: Bayesian personalized ranking for heterogeneous implicit feedback
Intern project to implement recommender demos for implicit feedback transaction data.
This repository contains the code for the paper "A Methodology for the Offline Evaluation of RecommenderSystems in a User Interface with Multiple Carousels", published at UMAP Late-Breaking Results 2021.
Set of recommender systems
Comparing Exploitation-Based and Game Theory Optimal Based Approaches in a Multi-Agent Environment (2020 Spring)
A personality-aware group recommendation system based on pairwise preferences
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