1 個回答
- 最新
- 最多得票
- 最多評論
0
The main benefit of having Recommenders vs Custom solutions is akin to the difference between hosting an API on Lambda vs. EC2. With Recommenders, you get an out-of-the-box managed solution that manages retraining with built-in filtering for already bought items. Custom solutions allow customers to manually manage their model updates and retraining at their own cadence. The underlying recommendations with the same data would be similar but the managed experience as a whole is what makes the difference.
相關內容
- AWS 官方已更新 2 年前