《论文笔记》A Deep Learning Based Collaborative Neural Network Framework for Recommender System
1、提出想法： 作者提出了传统协同过滤的一些缺点并列举了用深度学习来更好的发现深层次的交互特征。在本文中提出一种基于协同过滤的新型矩阵分解技术，采用深度学习来学习潜在特征并连接。使用两种不同的结构： 1、在矩阵分解之前先学习来自用户和项目的潜在特征 2、另一种是用前馈深度网络的多个阶段来学习项目和用户的潜在表示 我们发现多阶段联合学习表示深度神经网络，与单独学习用户和商品特征相比，可显着提高性能。
相关文章
- 1. An Efficient Deep Learning Approach for Collaborative Filtering Recommender System
- 2. Deep Learning based Recommender System: A Survey and New Perspectives
- 3. 论文笔记：Neural Collaborative Filtering
- 4. 【论文阅读笔记】Deep Learning based Recommender System: A Survey and New Perspectives
- 5. Collaborative Deep Learning for Recommender Systems
- 6. 论文笔记 - Wide & Deep Learning for Recommender Systems
- 7. 论文笔记之 Collaborative Deep Learning for Recommender Systems
- 8. A Survey of Recommender Systems Based on Deep Learning （1）
- 9. Wide & Deep Learning for Recommender Systems论文笔记
- 10. 论文笔记：Wide & Deep Learning for Recommender Systems
- 更多相关文章...
- • XSLT system-property() 函数 - XSLT 教程
- • Scala for循环 - Scala教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. An Efficient Deep Learning Approach for Collaborative Filtering Recommender System
- 2. Deep Learning based Recommender System: A Survey and New Perspectives
- 3. 论文笔记：Neural Collaborative Filtering
- 4. 【论文阅读笔记】Deep Learning based Recommender System: A Survey and New Perspectives
- 5. Collaborative Deep Learning for Recommender Systems
- 6. 论文笔记 - Wide & Deep Learning for Recommender Systems
- 7. 论文笔记之 Collaborative Deep Learning for Recommender Systems
- 8. A Survey of Recommender Systems Based on Deep Learning （1）
- 9. Wide & Deep Learning for Recommender Systems论文笔记
- 10. 论文笔记：Wide & Deep Learning for Recommender Systems