What is collaborative filtering?
An example of an AI chatbot conversation about collaborative filtering techniques in recommendation systems.
What is collaborative filtering?
Collaborative filtering is a technique used in recommendation systems that predicts user preferences based on past behaviors.
How does it work?
It works by analyzing the preferences of similar users and suggesting items that those users liked.
What are the types of collaborative filtering?
There are two main types: user-based and item-based collaborative filtering.
Can you give me an example?
Sure! If User A and User B both liked movies X and Y, and User A liked movie Z, then User B might also like movie Z.
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