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README.md

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# 推荐系统相关论文汇总
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([English Version is Here](/README_EN.md))
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## 介绍
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1. 截至2025-05-13,本仓库收集汇总了推荐系统领域相关论文共**906**篇,涉及:**召回****粗排****精排****重排****多任务****多场景****多模态****冷启动****校准**
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1. 截至2025-05-20,本仓库收集汇总了推荐系统领域相关论文共**907**篇,涉及:**召回****粗排****精排****重排****多任务****多场景****多模态****冷启动****校准**
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**纠偏****多样性****公平性****反馈延迟****蒸馏****对比学习****因果推断****Look-Alike****Learning-to-Rank****强化学习**等领域,本仓库会跟踪业界进展,持续更新。
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2. 因文件名特殊字符的限制,故论文title中所有的`:`都改为了`-`,检索时请注意。
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3. 文件名前缀中带有`[]`的,表明本人已经通读过,第一个`[]`中为论文年份,第二个`[]`中为发表机构或公司(可选),第三个`[]`中为论文提出的model或method的简称(可选)。
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## Re-Rank
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- [[2018][Hulu] Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity](Re-Rank/%5B2018%5D%5BHulu%5D%20Fast%20Greedy%20MAP%20Inference%20for%20Determinantal%20Point%20Process%20to%20Improve%20Recommendation%20Diversity.pdf)
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- [[2020][LinkedIn] Ads Allocation in Feed via Constrained Optimization](Re-Rank/%5B2020%5D%5BLinkedIn%5D%20Ads%20Allocation%20in%20Feed%20via%20Constrained%20Optimization.pdf)
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- [Beyond Pairwise Learning-To-Rank At Airbnb](Re-Rank/Beyond%20Pairwise%20Learning-To-Rank%20At%20Airbnb.pdf)
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- [Cross DQN - Cross Deep Q Network for Ads Allocation in Feed](Re-Rank/Cross%20DQN%20-%20Cross%20Deep%20Q%20Network%20for%20Ads%20Allocation%20in%20Feed.pdf)
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- [Controllable Multi-Objective Re-ranking with Policy Hypernetworks](Re-Rank/Controllable%20Multi-Objective%20Re-ranking%20with%20Policy%20Hypernetworks.pdf)
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- [Coverage, Redundancy and Size-Awareness in Genre Diversity for Recommender Systems](Re-Rank/Coverage%2C%20Redundancy%20and%20Size-Awareness%20in%20Genre%20Diversity%20for%20Recommender%20Systems.pdf)

README_EN.md

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# Summary of Papers Related to Recommendation System
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## Introduce
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1. Up to 2025-05-13, **906** papers related to recommendation system have been collected and summarized in this repo,
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1. Up to 2025-05-20, **907** papers related to recommendation system have been collected and summarized in this repo,
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including: **Match**, **Pre-Rank**, **Rank**, **Re-Rank**, **Multi-Task**, **Multi-Scenario**, **Multi-Modal**, **Cold-Start**, **Calibration**,
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**Debias**, **Diversity**, **Fairness**, **Feedback-Delay**, **Distillation**, **Contrastive Learning**, **Casual Inference**,
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**Look-Alike**, **Learning-to-Rank**, **Reinforcement Learning** and other fields, the repo will track the industry progress and update continuely.
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## Re-Rank
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- [[2018][Hulu] Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity](Re-Rank/%5B2018%5D%5BHulu%5D%20Fast%20Greedy%20MAP%20Inference%20for%20Determinantal%20Point%20Process%20to%20Improve%20Recommendation%20Diversity.pdf)
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- [[2020][LinkedIn] Ads Allocation in Feed via Constrained Optimization](Re-Rank/%5B2020%5D%5BLinkedIn%5D%20Ads%20Allocation%20in%20Feed%20via%20Constrained%20Optimization.pdf)
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- [Beyond Pairwise Learning-To-Rank At Airbnb](Re-Rank/Beyond%20Pairwise%20Learning-To-Rank%20At%20Airbnb.pdf)
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- [Cross DQN - Cross Deep Q Network for Ads Allocation in Feed](Re-Rank/Cross%20DQN%20-%20Cross%20Deep%20Q%20Network%20for%20Ads%20Allocation%20in%20Feed.pdf)
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- [Controllable Multi-Objective Re-ranking with Policy Hypernetworks](Re-Rank/Controllable%20Multi-Objective%20Re-ranking%20with%20Policy%20Hypernetworks.pdf)
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- [Coverage, Redundancy and Size-Awareness in Genre Diversity for Recommender Systems](Re-Rank/Coverage%2C%20Redundancy%20and%20Size-Awareness%20in%20Genre%20Diversity%20for%20Recommender%20Systems.pdf)
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