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原创【论文笔记】Disentangled Graph Collaborative Filtering

Disentangled Graph Collaborative Filtering 文章目录Disentangled Graph Collaborative Filtering摘要一、DGCF模型介绍模型任务：探索用户-项目关系生成表示DGCF模型方法Graph Disentangling Moduleembedding初始化Intent-Aware Graph初始化Graph Disentangling Layer.Intent-Aware Graph更新总结摘要 1、以往模型在模拟user-item

2021-11-03 09:47:20 885 1

原创【论文笔记】Neural Graph Collaborative Filtering

《Neural Graph Collaborative Filtering 》论文学习文章目录《Neural Graph Collaborative Filtering 》论文学习摘要一、介绍二、NGCF2.1 Embedding Layer2.2 Embedding Propagation Layers单层传播层多层传播层2.3 Model Prediction3 实验4 总结摘要 1、作者认为，通过user、item的ID、属性映射得到的embedding缺失了他们的交互过程，因此不足以捕捉协同

2021-10-25 22:53:22 682

原创【综述阅读】Deep Learning for Click-Through Rate Estimation（CTR综述）

Deep Learning for Click-Through Rate Estimation（CTR综述）文章目录Deep Learning for Click-Through Rate Estimation（CTR综述）摘要0.背景1.从浅到深的CTR模型2.CTR的特征交互模块2.1 特征交互2.1.1 乘积Product Operators2.1.2 卷积 Convolutional Operators2.1.3 注意力Attention Operators2.2 DNN在CTR模型中的作用3.

2021-08-28 14:17:25 1105

原创【论文笔记】Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction

《Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction》论文学习文章目录《Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction》论文学习摘要一、介绍二、MAIN模型嵌入层多交互层Multi-Interactive Layer全局交互模块Global Interact

2021-08-05 13:34:04 1585 2

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原创 【论文笔记】Disentangled Graph Collaborative Filtering

原创 【论文笔记】Neural Graph Collaborative Filtering

原创 【综述阅读】Deep Learning for Click-Through Rate Estimation（CTR综述）

原创 【论文笔记】Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction

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原创【论文笔记】Disentangled Graph Collaborative Filtering

原创【论文笔记】Neural Graph Collaborative Filtering

原创【综述阅读】Deep Learning for Click-Through Rate Estimation（CTR综述）

原创【论文笔记】Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction