Yulong Gu

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising. Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).

Awesome-Deep-Reinforcement-Learning-Papers-for-Search-Recommendation-Advertising. Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.

CIKM2020_DMT. Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020

WSDM2020_HUP. Hierarchical User Profiling for E-commerce RecommenderSystems, WSDM 2020

Awesome-Self-supervised-Learning-papers. Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.

IJCAI2019_HGAT. Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 19

Awesome-Embedding. Paper list for Network Embedding, Knowledge Base Embedding, Graph Neural Networks

Awesome-LLM-papers. Awesome papers in Large Language Models (LLM). They focus on state-of-the-art LLM methods, such as algorithms, system, SFT, RL, Multi-modal LLMs, MOE, Quantization, and Applications (RAG, agent, coding).

AAAI2021_ANPP. Attentive Neural Point Processes for Event Forecasting, AAAI 2021

SIGIR2020_NICF. Neural Interactive Collaborative Filtering, SIGIR 2020

CIKM2020_DecGCN. Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items, CIKM 2020

Deep-Reinforcement-Learning-Papers. Awesome papers in DRL

deeplearning. 深度学习相关的模型训练、评估和预测相关代码

Deep-Reinforcement-Learning-Materials. Materials for DRL

Algorithm-Practice-in-Industry. 搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

RecSysPapers. 推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

Awesome-Transformers. Awesome Transformers papers.

guyulongcs.github.io. guyulongcs.github.io

DeepLearning-500-questions. 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

GNNPapers. Must-read papers on graph neural networks (GNN)

Awesome-papers-in-DeepLearning-GenerativeAI. Python

ICDM2016_HLGPS. HLGPS: A Home Location Global Positioning System in Location-Based Social Networks, ICDM 2016

awesome-LLM-resources. 🧑‍🚀 全世界最好的LLM资料总结（语音视频生成、Agent、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.

Machine_Learning_Andrew_Ng. Coursera Machine Learning