Which pioneering CEO launched the first widely-adopted astronomy recommendation system that used machine learning to suggest personalized celestial viewing targets based on user equipment?

Space exploration generates vast amounts of data that needs sophisticated analysis. Modern astronomy retailers and observatories now employ recommendation systems similar to those used by Netflix or Amazon to help amateur astronomers and researchers find celestial objects of interest. These systems analyze previous viewing patterns, equipment capabilities, and current sky conditions to suggest optimal observation targets. Test your knowledge of how these astronomical recommendation systems have transformed the hobby and research landscape!

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Emily Calandrelli (Founder of AstroSuggest)
Max Tegmark (Creator of SkyScope AI)
Mike Hanson (Developer of StellarRecommend)
Karen Diaz (Inventor of GalaxySight)