How can I improve my recommendation system?
To improve your recommendation system, consider using collaborative filtering, content-based filtering, or hybrid methods.
What is collaborative filtering?
Collaborative filtering is a method that makes recommendations based on user behavior and preferences, analyzing patterns from similar users.
Can you give me an example of a hybrid method?
Sure! A hybrid method combines collaborative filtering and content-based filtering, like Netflix, which uses both user ratings and movie features.
How do I collect user data effectively?
You can collect user data through surveys, tracking user interactions, and analyzing purchase history to understand preferences.
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