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GitHub - JackHCC/Rec-Models: 📝 Summary of recommendation, advertising and search models.【推广搜技术汇总⭐】

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Rec-Models

📝 Summary of recommendation, advertising and search models.

Recall

Papers

Paper Resource Others
[2019阿里SDM模型] SDM: Sequential Deep Matching Model for Online Large-scale Recommender System Code
[2019阿里JTM] Joint Optimization of Tree-based Index and Deep Model for Recommender Systems Code
[2019百度MOBIUS] MOBIUS:Towards the Next Generation of Qery Ad Matching in Baidu's Sponsored Search Code
[2019YouTube双塔] sampling bias corrected neural modeling for large corpus item recommendations Code
[2018阿里TDM] Learning Tree-based Deep Model for Recommender Systems Code
[2018Facebook] Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace Code
[2013 DSSM模型] Learning deep structured semantic models for web search using clickthrough data Code
[2008 SVD] Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model Code
[2008] Collaborative Filtering for Implicit Feedback Datasets Code

Ranking（CTR|CVR）

Papers

Model Paper Resource Others
Convolutional Click Prediction Model [CIKM 2015]A Convolutional Click Prediction Model CCPM-基于卷积的点击预测模型 Code
Factorization-supported Neural Network [ECIR 2016]Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction Code
Product-based Neural Network [ICDM 2016]Product-based neural networks for user response prediction PNN论文笔记 Code
Wide & Deep [DLRS 2016]Wide & Deep Learning for Recommender Systems Wide&Deep模型 Code
DeepFM [IJCAI 2017]DeepFM: A Factorization-Machine based Neural Network for CTR Prediction 深度推荐模型之DeepFM Code
Piece-wise Linear Model [arxiv 2017]Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction MLR算法模型 Code
Deep & Cross Network [ADKDD 2017]Deep & Cross Network for Ad Click Predictions 谷歌经典 Deep&Cross Network原理 Code
Attentional Factorization Machine [IJCAI 2017]Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks 推荐算法精排模型AFM：Attentional Factorization Machines Code
Neural Factorization Machine [SIGIR 2017]Neural Factorization Machines for Sparse Predictive Analytics NFM 模型 (论文精读)--广告&推荐 Code
xDeepFM [KDD 2018]xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems xDeepFM 原理通俗解释及代码实战 Code
Deep Interest Network [KDD 2018]Deep Interest Network for Click-Through Rate Prediction 阿里巴巴DIN模型详解 Code
Deep Interest Evolution Network [AAAI 2019]Deep Interest Evolution Network for Click-Through Rate Prediction DIEN算法学习笔记 Code
AutoInt [CIKM 2019]AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks AutoInt：基于Multi-Head Self-Attention构造高阶特征 Code
ONN [arxiv 2019]Operation-aware Neural Networks for User Response Prediction ONN: paper+code reading Code
FiBiNET [RecSys 2019]FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction FiBiNET: paper reading + 实践调优经验 Code
IFM [IJCAI 2019]An Input-aware Factorization Machine for Sparse Prediction IFM: 输入感知的FM模型 Code
DCN V2 [arxiv 2020]DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems DCNMix原理与实践 Code
DIFM [IJCAI 2020]A Dual Input-aware Factorization Machine for CTR Prediction DIFM: 双重IFM模型 Code
AFN [AAAI 2020]Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions Code
SharedBottom [arxiv 2017]An Overview of Multi-Task Learning in Deep Neural Networks Shared-Bottom网络结构 Code
ESMM [SIGIR 2018]Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate ESMM详解 Code
MMOE [KDD 2018]Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts 多任务学习之MMOE模型 Code
PLE [RecSys 2020]Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations 腾讯PCG RecSys2020最佳长论文——视频推荐场景下多任务PLE模型详解 Code

Datasets

Reranking

Papers

Paper Resource Others
[IJCAJ2018, Alibaba]. Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search Code
[SIGIR2018, Qingyao Ai]. Learning a Deep Listwise Context Model for Ranking Refinement Code
[RecSys2019, Alibaba]. Personalized Re-ranking for Recommendation Code
[CIKM2020, Alibaba]. EdgeRec-Recommender System on Edge in Mobile Taobao Code
[Artix2021, Alibaba]. Revisit Recommender System in the Permutation Prospective Code

Blogs

Calibration

Papers

Paper Resource Others
(KDD2020, Alibaba). Calibrating User Response Predictions in Online Advertising Code
(WWW2020, Tencent). A Simple and Empirically Strong Method for Reliable Probabilistic Predictions Code
(WWW2022, Alibaba). MBCT Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration Code

Blogs

Bid

Papers

Paper Resource Others
[IJCAI2017, Alibaba]. Optimized Cost per Click in Taobao Display Advertising Code
[KDD2019, Alibaba]. Bid Optimization by Multivariable Control in Display Advertising Code
[AAMAS2020, ByteDance]. Optimized Cost per Mille in Feeds Advertising Code
[KDD2021, Alibaba]. A Unified Solution to Constrained Bidding in Online Display Advertising Code
[KDD2014]. Optimal Real-Time Bidding for Display Advertising Code
[KDD2015]. Bid Landscape Forecasting in Online Ad Exchange Marketplace Code
[KDD2015]. Predicting Winning Price in Real Time Bidding with Censored Data Code
[KDD2016]. User Response Learning for Directly Optimizing Campaign Performance in Display Advertising Code
[KDD2016]. Functional Bid Landscape Forecasting for Display Advertising Code
[KDD2017]. A Gamma-Based Regression for Winning Price Estimation in Real-Time Bidding Advertising Code
[KDD2018]. Bidding Machine Learning to Bid for Directly Optimizing Profits in Display Advertising Code
[KDD2019]. Deep Landscape Forecasting for Real-time Bidding Advertising Code

Blogs

Open Resource

Practice in Industry