推荐系统，计算广告模型论文，代码与数据集汇总

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已于 2025-08-04 22:57:54 修改 · 1.6k 阅读

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#推荐算法

于 2022-12-24 12:16:40 首次发布

这篇博客汇总了推荐系统、广告和搜索模型的最新研究，包括序列深度匹配模型、联合优化树型索引与深度模型、下一代查询广告匹配模型等。同时，涵盖了CTR/CVR排名模型，如Wide&Deep、DeepFM、xDeepFM等，并探讨了重排序、校准和竞价策略在实际系统中的应用。此外，还提供了多个开源资源链接，便于读者深入学习和实践。

Rec-Models

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

https://github.com/JackHCC/Rec-Models
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📝 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]