You are working on an e-commerce platform and want to develop a feature where users receive product recommendations based on the browsing and purchase history of similar users. Which recommendation approach would be most appropriate?
- Collaborative Filtering
- Content-Based Filtering
- Item-Based Filtering
- Reinforcement Learning
In this case, a collaborative filtering approach is most appropriate. It recommends products based on the behavior and preferences of users who are similar to the target user. Content-based and item-based filtering consider product characteristics, while reinforcement learning is used for sequential decision-making.
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