Learning over Knowledge-Base Embeddings for Recommendation 论文
Paper-CFKG 中心思想：通过知识表示学习方法来嵌入异质实体来进行推荐。 文章定义了一个 用户-物品知识图 的概念（user-item knowledge graph），借此扩展原来的协同过滤（collaborative filtering） MODEL：COLLABORATIVE FILTERING WITH KNOWLEDGE-GRAPH we first define a
相关文章
- 1. 论文笔记：Personalized Deep Learning for Tag Recommendation
- 2. 论文笔记 GAME:Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation
- 3. Explainable Reasoning over Knowledge Graphs for Recommendation
- 4. #Paper Reading# Deep Learning Recommendation Model for Personalization and Recommendation Systems
- 5. Deep Learning Recommendation Model for Personalization and Recommendation Systems
- 6. 论文浅尝 | Complex Embeddings for Simple Link Prediction
- 7. 论文笔记：ACL 2019 Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
- 8. 论文阅读笔记《TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning》
- 9. 论文笔记：AAAI 2020 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
- 10. 联邦学习论文阅读：Federated meta-learning for recommendation
- 更多相关文章...
- • Swift for 循环 - Swift 教程
- • Scala for循环 - Scala教程
- • Scala 中文乱码解决
- • Docker容器实战(七) - 容器眼光下的文件系统
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. 论文笔记：Personalized Deep Learning for Tag Recommendation
- 2. 论文笔记 GAME:Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation
- 3. Explainable Reasoning over Knowledge Graphs for Recommendation
- 4. #Paper Reading# Deep Learning Recommendation Model for Personalization and Recommendation Systems
- 5. Deep Learning Recommendation Model for Personalization and Recommendation Systems
- 6. 论文浅尝 | Complex Embeddings for Simple Link Prediction
- 7. 论文笔记：ACL 2019 Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
- 8. 论文阅读笔记《TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning》
- 9. 论文笔记：AAAI 2020 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
- 10. 联邦学习论文阅读：Federated meta-learning for recommendation