What are traditional recommender systems?

What are traditional recommender systems?

Traditional recommender systems are algorithms that suggest items to users based on their preferences and behaviors.

How do they work?

They typically use techniques like collaborative filtering, content-based filtering, or a hybrid approach to make recommendations.

Can you give me an example of collaborative filtering?

Sure! Collaborative filtering recommends items by analyzing user behavior, like suggesting movies based on what similar users liked.

What are the limitations of these systems?

Some limitations include the cold start problem, where new users or items lack data, and potential biases in recommendations.