BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

SASRec: Self-Attentive Sequential Recommendation

Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework

[ICML 2025] Gaussian Mixture Flow Matching Models (GMFlow)

[ACL 2023] UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention, AAAI-24

[WSDM 2023]Towards Universal Cross-Domain Recommendation

The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Science Track), which proposes a model for Multi-Scenario/Multi-…

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

[KDD'25] Revisiting Self-attention for Cross-domain Sequential Recommendation

LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models (TOIS)

Wan: Open and Advanced Large-Scale Video Generative Models

Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"

Pytorch domain library for recommendation systems

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

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

[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"

Source codes and Datasets for EDDA in CIKM'23

The source code is for the paper: “Triple Sequence Learning for Cross-domain Recommendation” accepted in TOIS by Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin and Jie Zhou.

Official Implementation of our AAAI 2025 paper: "Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation".

[SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation