Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation簡析
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation Introduction 在該論文中，將推薦系統和知識圖譜建模視爲兩個分離可是相關的任務，設計了一個多任務學習的框架，利用知識圖譜建模任務來輔助推薦系統任務。這兩個任務之因此相關，是由於推薦系統中的一個物品會和一個或多個知識圖譜中的實體相對應，所以，它們在
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- 3. Knowledge Graph Attention Network for Recommendation
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相關文章
- 1. Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation簡析
- 2. 知識圖譜與推薦系統之《Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation》MKR
- 3. Knowledge Graph Attention Network for Recommendation
- 4. Recurrent Knowledge Graph Embedding for Effective Recommendation
- 5. 20200427 Knowledge Graph Attention Network for Recommendation
- 6. Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
- 7. Unifying Task-oriented Knowledge Graph Learning and Recommendation
- 8. Learning over Knowledge-Base Embeddings for Recommendation 論文
- 9. RKGE Recurrent Knowledge Graph Embedding for Effective Recommendation 論文
- 10. 【論文筆記】Text-Enhanced Representation Learning for Knowledge Graph