What are the limitations of collaborative filtering?

What are the limitations of collaborative filtering?

Collaborative filtering has several limitations, including the cold start problem, sparsity of data, and scalability issues.

Can you explain the cold start problem?

Sure! The cold start problem occurs when there is insufficient data about users or items, making it hard to make accurate recommendations.

What about sparsity of data?

Sparsity refers to the situation where user-item interactions are limited, leading to challenges in finding similar users or items.

How does scalability affect collaborative filtering?

Scalability issues arise when the number of users and items grows, making it difficult to compute recommendations efficiently.

Are there any alternatives to collaborative filtering?

Yes, alternatives include content-based filtering and hybrid methods that combine multiple recommendation strategies.