What are the limitations of recommendation systems?

What are the main limitations of recommendation systems?

Recommendation systems often struggle with issues like data sparsity, cold start problems, and bias in recommendations.

Can you explain the cold start problem?

The cold start problem occurs when a system has insufficient data about users or items, making it hard to provide accurate recommendations.

How does bias affect recommendations?

Bias can lead to skewed recommendations, favoring popular items and potentially marginalizing niche interests.

Are there ways to mitigate these limitations?

Yes, techniques like collaborative filtering, content-based filtering, and hybrid approaches can help address these limitations.