The source code for "Federated Vision-Language-Recommendation with Personalized Fusion"

[KDD2025] PyTorch implementation of "Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation".

A federated recommendation framework for collaborative information aggregation

Code for kdd-24 paper "GPFedRec: Graph-Guided Personalization for Federated Recommendation"

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

[Up-to-date] A curated list of resources on cold-start recommendations.

[NeurIPS'24 Spotlight] The official implementation code of LLM-ESR.

Code for paper "Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models"

[KDD'25] Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends

The Code for "Federated Recommender with Additive Personalization"

Code for ijcai-23 paper "Dual Personalization on Federated Recommendation"

Korean BART

코딩테스트 대비 문제집(Baekjoon Online Judge)

recommender system tutorial with Python

Unofficial PyTorch implementation of Discrete Denoising Diffusion Probabilistic Model(D3PM)

Google Research

ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

running LayoutLMv2

A unified, comprehensive and efficient recommendation library

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

카카오 추천팀 공개 리포지토리입니다.

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.