Explainable Reasoning over Knowledge Graphs for Recommendation
Explainable Reasoning over Knowledge Graphs for Recommendation 1. 摘要 近年來，將知識圖結合到推薦系統中已引起越來越多的關注。通過探索知識圖中的互連鏈接，可以將用戶和項之間的連接發現爲路徑，從而爲用戶項交互提供豐富且互補的信息。這種連接不僅揭示了實體和關係的語義，而且有助於理解用戶的興趣。然而，現有的努力尚未充分探索用於推斷用戶偏好
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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