Which recommendation system technology has been credited with increasing telescope sales by 35% through its ability to suggest appropriate equipment based on a customer's experience level?

The astronomy industry has seen remarkable growth in consumer products over the past decade. From telescope technology to stargazing apps, companies have employed various retail strategies to reach astronomy enthusiasts. This trivia question focuses on the retail recommendation systems that have revolutionized how astronomy products are marketed to both casual stargazers and professional astronomers. Test your knowledge about how the stars sell in today's market!

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AstroMatch AI - a system that analyzes viewing conditions and recommends equipment suitable for the user's geographical location
StellarScope Recommender - a machine learning algorithm that pairs users with telescopes based on previous purchases and browsing history
CosmoShopper - a collaborative filtering system that suggests products based on purchases made by astronomers with similar qualifications
GalactiGuide - a content-based filtering system that matches telescopes to specific celestial bodies users want to observe