LiuJi0826's Stars
Linxyhaha/TDRO
Temporally and Distributionally Robust Optimization for Cold-start Recommendation (AAAI'24)
THUDM/RecDCL
RecDCL: Dual Contrastive Learning for Recommendation (WWW'24, Oral)
Qrange-group/Mirror-Gradient
WWW'24, Mirror Gradient (MG) makes multimodal recommendation models approach flat local minima easier compared to models with normal training.
WANGBohaO-jpg/DR-GNN
[WWW2024] The official code for paper "Distributionally Robust Graph-based Recommendation System"
AIM-SE/DA4Rec
Arthurma71/AdvDrop
QwQ2000/TheWebConf24-LTGNN-PyTorch
TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
Jyonn/CAGE
(TheWebConf '24) The official implementation of paper "Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization"
CHIANGEL/ReLLa-hf4.35.2
Implementation of the paper "ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation"
HKUDS/RLMRec
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
morganf33/GNR
code for "Generative News Recommendation"
JennyXieJiayi/UnifiedSSR
[WWW '24] UnifiedSSR: A Unified Framework of Sequential Search and Recommendation
Stevenn9981/PPAC
Wcsa23187/UBA
riktor/exADMM-recommender
mysbupt/CrossCBR
swt-user/LLPAUC
WujiangXu/AMID
The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
yaochenzhu/LLM4Rec
(WWW'24) The first RS that tightly combines LLM with ID-based RS.
HKUDS/SSLRec
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
YuanchenBei/MacGNN
The source code of MacGNN, The Web Conference 2024.
KingGugu/TiCoSeRec
Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
DyGRec/Sequential-Recommender-System-Papers
This is a repo containing recent papers related to temporal (sequential) recommender system
YushenLi807/WWW24-RAT
The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)
HKUDS/PromptMM
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
AccumulateMore/CV
✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
westlake-repl/NineRec
Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System
MorvanZhou/tutorials
机器学习相关教程
tsinghua-fib-lab/DICE
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.