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Related Questions
- What are the key differences between additive attention and other attention mechanisms in sequential recommendation tasks?
- Can additive attention be used for long-range sequential recommendation tasks, such as predicting the next item in a user's purchase history after a long period?
- How does additive attention handle the issue of vanishing gradients in sequential recommendation tasks?
- What is the computational cost of using additive attention in sequential recommendation tasks compared to other attention mechanisms?
- Can additive attention be used in combination with other techniques, such as session-based recommendation or graph-based recommendation?
- How does additive attention perform on tasks with item embeddings of different dimensions, such as user-item interactions with high-dimensional item embeddings?
- What are some common applications of additive attention in sequential recommendation tasks, such as next-item prediction, next-basket prediction, or next-click prediction?
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