Explainable Reasoning over Knowledge Graphs for Recommendation
Explainable Reasoning over Knowledge Graphs for Recommendation 摘要 將知識圖譜引入推薦中存在的問題 未充分探索用於推斷用戶偏好的這種連接性 對路徑內的順序性和整體語義建模方面存在不足 提出解決問題的模型 KPRN（知識感知路徑遞歸網絡），利用知識圖譜做推薦 KPRN的核心 KPRN利用路徑中的順序依賴關係，我們可以在路徑上進行有效推理
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相關文章
- 1. Explainable Reasoning over Knowledge Graphs for Recommendation
- 2. 【EMNLP2019】Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs
- 3. 論文Reinforcement Knowledge Graph Reasoning for Explainable Recommendation筆記
- 4. KPRN - Explainable Reasoning over Knowledge Graphs for Recommendation 知識圖譜上的可解釋推理用於推薦
- 5. Learning over Knowledge-Base Embeddings for Recommendation 論文
- 6. Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
- 7. # Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Netwo
- 8. Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
- 9. Knowledge Graph Attention Network for Recommendation
- 10. Recurrent Knowledge Graph Embedding for Effective Recommendation