Sequential Scenario-Specific Meta Learner for Online Recommendation簡析
Sequential Scenario-Specific Meta Learner for Online Recommendation Introduction 冷啓動是個長期存在的挑戰對於通常的推薦場景來講。大多數推薦算法依賴於大量的觀察數據，以及對於沒什麼聯繫的推薦算法產生不了足夠好的效果。爲了解決這個問題，文章使用了few-shot learning以及meta learning,提出了
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相關文章
- 1. [paper] Meta-Learner LSTM
- 2. Memory Augmented Graph Neural Networks for Sequential Recommendation翻譯
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