Stars
Awesome Reasoning LLM Tutorial/Survey/Guide
A list of awesome papers and resources of recommender system on large language model (LLM).
RUCAIBox / LC-Rec
Forked from zhengbw0324/LC-Rec[ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."
A curated (most recent) list of resources for Learning with Noisy Labels
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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）
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
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.
A tutorial series by Preferred.AI
AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.
Implementation of Vickrey–Clarke–Groves auction (VCG auction)
[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)