The Qloo API detects trends in user preferences and personalizes related items within a database of culture and entertainment. The API generates matching recommendations for user-to-item or item-to-item searches on a variety of media and lifestyle categories, in addition to mapping related entertainment spots in particular geographic locations. Books, fashion, film, music, podcasts, and television are some of the API’s categories for media and lifestyle items. Its functionality for matching geo-locations stretches the dining, hospitality, nightlife, and travel domains. Qloo’s architectural design is anchored on advanced machine learning methods that work alongside statistical applications and Neuroaesthetics research models to detect, track and generate recommendations on the basis of item correlations and user preference trends. The Qloo API currently provides free but limited access to a database of over 75 million items.