整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

[KDD22] Official PyTorch implementation for "Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning".

Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.

Official repository for "MMConv: An Environment for Multimodal Conversational Search across Multiple Domains"

KDD2020 Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

This is code for the paper: Towards Question-based Recommender Systems

Beyond Co-occurrence: Multi-modal Session-based Recommendation

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

Large Language Model-enhanced Recommender System Papers

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

MCRPL

A Latex template for journal review response (initially designed for IEEE TVCG)

A Deep Learning Recommender System

code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation

该仓库主要记录 推荐系统 算法工程师相关的面试题

Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space

Diffusion Recommender Model

[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"

[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

A curated list of awesome resources about multimodal recommender systems.

The source code of "Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval." (Accepted by SIGIR 2022)

The code for the Network Binarization via Contrastive Learning, which has been accepted to ECCV 2022.

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation