Large language model self-evaluation and self-correction related papers.

Diffusion Recommender Model

Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023

A unified framework for recommender system attacking

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

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

A curated collection of adversarial attack and defense on recommender systems.

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

The official code of CVPR 2022 paper (Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation).

Collection of diverse recommendation papers

Deconfounded Recommendation for Alleviating Bias Amplification

Must-read papers and resources related to causal inference and machine (deep) learning

A Configurable Recommender Systems Simulation Platform

A curated list of research papers related to learning disentangled representations

A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-papers and https://github.com/matthewvowels1/Awesome-VAEs.

A tool to help researchers and product teams understand datasets with the goal of improving data quality, and mitigating fairness and bias issues.

Code for fashion knowledge extraction from social media

This is the repo for paper: Knowledge Enhanced Neural Fashion Trend Forecasting

This repo includes two useful tools to crawl Instagram posts without requiring the official APIs.

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

A collection of IPython notebooks covering various topics.

A Curated List of Must-read Papers on Recommender System.

Transformer integrating the pre-defined tree structre

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)