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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 collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
A collection of research and application papers of (uncertainty) calibration techniques.
本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。
[EMNLP 2021] MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
A framework for large scale recommendation algorithms.
Retrieval and Retrieval-augmented LLMs
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）
Use PEFT or Full-parameter to finetune 450+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek-R1, ...) and 150+ MLLMs (Qwen2.5-VL, Qwen2-Audio, Llama3.2-Vision, Llava, I…
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This project provides Apache Spark SQL, RDD, DataFrame and Dataset examples in Scala language
Intent Contrastive Learning for Sequential Recommendation (WWW'22)
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋