Rec-Models

更多细节参考项目：https://github.com/JackHCC/Rec-Models

https://github.com/JackHCC/Rec-Models
在这里插入图片描述

📝 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

Criteo
Avazu
Movielens
Amazon
Alibaba Click and Conversion Prediction
UCI Machine Learning Repository

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

基于上下文感知的重排序算法梳理

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

广告pCTR校准机制

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

RTB论文梳理及总结

Open Resource

DeepCTR-Torch
EasyRec
AI-RecommenderSystem
DeepMatch
PaddleRec

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推荐系统，计算广告模型论文，代码与数据集汇总

Rec-Models

Recall

Papers

Ranking（CTR|CVR）

Papers

Datasets

Reranking

Papers

Blogs

Calibration

Papers

Blogs

Bid

Papers

Blogs

Open Resource

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