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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2023-06-12,本仓库收集汇总了推荐系统领域相关论文共**678**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2023-06-14,本仓库收集汇总了推荐系统领域相关论文共**679**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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- [Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network](Match/GNN/Improving%20Accuracy%20and%20Diversity%20in%20Matching%20of%20Recommendation%20with%20Diversified%20Preference%20Network.pdf)
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- [IntentGC - a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation](Match/GNN/IntentGC%20-%20a%20Scalable%20Graph%20Convolution%20Framework%20Fusing%20Heterogeneous%20Information%20for%20Recommendation.pdf)
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- [MultiSage - Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks](Match/GNN/MultiSage%20-%20Empowering%20GCN%20with%20Contextualized%20Multi-Embeddings%20on%20Web-Scale%20Multipartite%20Networks.pdf)
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- [Modeling Dual Period-Varying Preferences for Takeaway Recommendation](Match/GNN/Modeling%20Dual%20Period-Varying%20Preferences%20for%20Takeaway%20Recommendation.pdf)
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- [MMGCN - Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video](Match/GNN/MMGCN%20-%20Multi-modal%20Graph%20Convolution%20Network%20for%20Personalized%20Recommendation%20of%20Micro-video.pdf)
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- [M2GRL - A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems](Match/GNN/M2GRL%20-%20A%20Multi-task%20Multi-view%20Graph%20Representation%20Learning%20Framework%20for%20Web-scale%20Recommender%20Systems.pdf)
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- [Network Embedding as Matrix Factorization - Unifying DeepWalk, LINE, PTE, and node2vec](Match/GNN/Network%20Embedding%20as%20Matrix%20Factorization%20-%20Unifying%20DeepWalk%2C%20LINE%2C%20PTE%2C%20and%20node2vec.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 2023-06-12, **678** papers related to recommendation system have been collected and summarized in this repo,
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1. Up to 2023-06-14, **679** 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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- [Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network](Match/GNN/Improving%20Accuracy%20and%20Diversity%20in%20Matching%20of%20Recommendation%20with%20Diversified%20Preference%20Network.pdf)
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- [IntentGC - a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation](Match/GNN/IntentGC%20-%20a%20Scalable%20Graph%20Convolution%20Framework%20Fusing%20Heterogeneous%20Information%20for%20Recommendation.pdf)
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- [MultiSage - Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks](Match/GNN/MultiSage%20-%20Empowering%20GCN%20with%20Contextualized%20Multi-Embeddings%20on%20Web-Scale%20Multipartite%20Networks.pdf)
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- [Modeling Dual Period-Varying Preferences for Takeaway Recommendation](Match/GNN/Modeling%20Dual%20Period-Varying%20Preferences%20for%20Takeaway%20Recommendation.pdf)
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- [MMGCN - Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video](Match/GNN/MMGCN%20-%20Multi-modal%20Graph%20Convolution%20Network%20for%20Personalized%20Recommendation%20of%20Micro-video.pdf)
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- [M2GRL - A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems](Match/GNN/M2GRL%20-%20A%20Multi-task%20Multi-view%20Graph%20Representation%20Learning%20Framework%20for%20Web-scale%20Recommender%20Systems.pdf)
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- [Network Embedding as Matrix Factorization - Unifying DeepWalk, LINE, PTE, and node2vec](Match/GNN/Network%20Embedding%20as%20Matrix%20Factorization%20-%20Unifying%20DeepWalk%2C%20LINE%2C%20PTE%2C%20and%20node2vec.pdf)

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