How Google Maps quietly allocates survival across London’s restaurants – and how I built a dashboard to see through it
📚 Using data from over 13,000 restaurants, a machine-learning model was built to rethink Google's ratings of London eateries. This model, a gradient-boosted decision tree, considers review volume, cuisine, and location. Insights show algorithm-driven market dynamics favor chains while new independents struggle. A London food dashboard was created, revealing algorithmic influences and identifying underrated gems. Central London remains dominant, with algorithmic visibility shaping culinary diversity. Platforms like Google Maps act as market makers, impacting economic survival by controlling visibility.
Share
