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by kuyda 4135 days ago
We use more than 15 different data sources - mainly user reviews (Yelp, 4Square, TripAdvisor), blogs and professional media (SF Gate, Eater etc) and guidebooks (Michelin, Zagat etc). All data is collected automatically and then plugged into our data model. We extract entities and make sentiment analysis to learn what this place is good for exactly and to show relevant quotes. As people share much more in a conversation than they would on sites like Yelp matching our users' preferences with the restaurant data makes our recommendations more relevant and personalised.