A unified, comprehensive and efficient recommendation library

Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"

This is a repository of public data sources for Recommender Systems (RS).

Efficient and extensible GNNs enhanced recommender library based on RecBole.

This is the official PyTorch implementation for the paper: "Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation"

A collection of classified and organized top conference paper list.

Recommender System Papers

An up-to-date, comprehensive and flexible recommendation library

Code and Results for the paper: A Revisiting Study of Appropriate Offline Evaluation for Top-𝑁 Recommendation Algorithms.

论文里可以用到的实验图示例

Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"

ncnn is a high-performance neural network inference framework optimized for the mobile platform

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

李宏毅2021春季机器学习课程课件及作业

IRGAN SIGIR paper experimental code