[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023

This is the codes of DGEL. Thanks for your kindly attention and citing.

Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"

Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation

Pytorch implementation of DGCF

[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"

Public repository of Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders

Implementations of Influential Recommender System

Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation

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

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

Candidate–aware Graph Contrastive Learning for Recommendation

Diffusion Recommender Model

This is an implementation for our SIGIR2023 paper "Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation" based on PyTorch.

This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.

FIRE forked from official implementation

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

WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"