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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2025-03-25,本仓库收集汇总了推荐系统领域相关论文共**895**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2025-03-26,本仓库收集汇总了推荐系统领域相关论文共**896**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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- [Recommender Systems with Generative Retrieval](Match/Recommender%20Systems%20with%20Generative%20Retrieval.pdf)
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- [Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty](Match/Representing%20and%20Recommending%20Shopping%20Baskets%20with%20Complementarity%2C%20Compatibility%2C%20and%20Loyalty.pdf)
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- [Robust Representation Learning for Unified Online Top-K Recommendation](Match/Robust%20Representation%20Learning%20for%20Unified%20Online%20Top-K%20Recommendation.pdf)
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- [Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever](Match/Real-time%20Indexing%20for%20Large-scale%20Recommendation%20by%20Streaming%20Vector%20Quantization%20Retriever.pdf)
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- [Revisiting Neural Retrieval on Accelerators](Match/Revisiting%20Neural%20Retrieval%20on%20Accelerators.pdf)
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- [Retrieval with Learned Similarities](Match/Retrieval%20with%20Learned%20Similarities.pdf)
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- [Recommendation on Live - Streaming Platforms- Dynamic Availability and Repeat Consumption](Match/Recommendation%20on%20Live%20-%20Streaming%20Platforms-%20Dynamic%20Availability%20and%20Repeat%20Consumption.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 2025-03-25, **895** papers related to recommendation system have been collected and summarized in this repo,
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1. Up to 2025-03-26, **896** 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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- [Recommender Systems with Generative Retrieval](Match/Recommender%20Systems%20with%20Generative%20Retrieval.pdf)
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- [Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty](Match/Representing%20and%20Recommending%20Shopping%20Baskets%20with%20Complementarity%2C%20Compatibility%2C%20and%20Loyalty.pdf)
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- [Robust Representation Learning for Unified Online Top-K Recommendation](Match/Robust%20Representation%20Learning%20for%20Unified%20Online%20Top-K%20Recommendation.pdf)
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- [Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever](Match/Real-time%20Indexing%20for%20Large-scale%20Recommendation%20by%20Streaming%20Vector%20Quantization%20Retriever.pdf)
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- [Revisiting Neural Retrieval on Accelerators](Match/Revisiting%20Neural%20Retrieval%20on%20Accelerators.pdf)
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- [Retrieval with Learned Similarities](Match/Retrieval%20with%20Learned%20Similarities.pdf)
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- [Recommendation on Live - Streaming Platforms- Dynamic Availability and Repeat Consumption](Match/Recommendation%20on%20Live%20-%20Streaming%20Platforms-%20Dynamic%20Availability%20and%20Repeat%20Consumption.pdf)

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