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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2023-03-16,本仓库收集汇总了推荐系统领域相关论文共**631**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2023-03-17,本仓库收集汇总了推荐系统领域相关论文共**632**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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- [Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval](Multi-Modal/Heterogeneous%20Attention%20Network%20for%20Effective%20and%20Efficient%20Cross-modal%20Retrieval.pdf)
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- [Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieva](Multi-Modal/Learning%20Joint%20Embedding%20with%20Multimodal%20Cues%20for%20Cross-Modal%20Video-Text%20Retrieva.pdf)
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- [Multimodal Recommender Systems - A Survey](Multi-Modal/Multimodal%20Recommender%20Systems%20-%20A%20Survey.pdf)
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- [Multi-Modal Self-Supervised Learning for Recommendation](Multi-Modal/Multi-Modal%20Self-Supervised%20Learning%20for%20Recommendation.pdf)
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- [Pretraining Representations of Multi-modal Multi-query E-commerce Search](Multi-Modal/Pretraining%20Representations%20of%20Multi-modal%20Multi-query%20E-commerce%20Search.pdf)
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## Multi-Scenario
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- [[2020][JD][DADNN] DADNN - Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network](Multi-Scenario/%5B2020%5D%5BJD%5D%5BDADNN%5D%20DADNN%20-%20Multi-Scene%20CTR%20Prediction%20via%20Domain-Aware%20Deep%20Neural%20Network.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 2023-03-16, **631** papers related to recommendation system have been collected and summarized in this repo,
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1. Up to 2023-03-17, **632** 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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- [Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval](Multi-Modal/Heterogeneous%20Attention%20Network%20for%20Effective%20and%20Efficient%20Cross-modal%20Retrieval.pdf)
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- [Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieva](Multi-Modal/Learning%20Joint%20Embedding%20with%20Multimodal%20Cues%20for%20Cross-Modal%20Video-Text%20Retrieva.pdf)
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- [Multimodal Recommender Systems - A Survey](Multi-Modal/Multimodal%20Recommender%20Systems%20-%20A%20Survey.pdf)
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- [Multi-Modal Self-Supervised Learning for Recommendation](Multi-Modal/Multi-Modal%20Self-Supervised%20Learning%20for%20Recommendation.pdf)
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- [Pretraining Representations of Multi-modal Multi-query E-commerce Search](Multi-Modal/Pretraining%20Representations%20of%20Multi-modal%20Multi-query%20E-commerce%20Search.pdf)
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## Multi-Scenario
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- [[2020][JD][DADNN] DADNN - Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network](Multi-Scenario/%5B2020%5D%5BJD%5D%5BDADNN%5D%20DADNN%20-%20Multi-Scene%20CTR%20Prediction%20via%20Domain-Aware%20Deep%20Neural%20Network.pdf)

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