lidongliang's repositories
Ad-papers
Papers on Computational Advertising
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
dismember
Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
ml-papers
Collection of classical and state-of-the-art machine learning papers.
one_epoch_phenomenon
This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by CIKM2022. The codes will be released soon.
QRec
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
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.
rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)