[NeurIPS'2023] Official Code Repo:Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability

Variational autoencoders for collaborative filtering

[CIKM'23] The official implementation code of DiffuASR.

A curated list of Generative Recommender Systems (Paper & Code)

[ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"

The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

Paper Reading list for Shilling Attack and Defense on Recommender Systems

A list of recent papers about adversarial learning

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

Diffusion Models, Recommender Systems, Recommendation, Diff4Rec

Diffusion Models for Generative Outfit Recommendation

[CVPR 2023] Official PyTorch Implementation for "Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression"

Diffusion Recommender Model

This repository contains our implementations for Shilling Attacks against Recommender Systems.

A Survey of Poisoning Attacks and Defenses in Recommender Systems

An index of causal inference based recommendation algorithms (TOIS).

This repository collects debiasing methods for recommendation

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

[KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

The latest paper list of large language model (LLM) for recommendation

The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)

The PyTorch implementation of LightGCN

Code for Sequential Rcommendaiton with Collaborative Explanation via Mutual Information Maximization