# Ride-Sharing Restaurant Guides The Uber Restaurant Guide Highlights Popular Dining Spots By Joey Haar | Published 2016-11-22 | Lifestyle Source: Trend Hunter, https://www.trendhunter.com/trends/uber-restaurant-guide References: [theverge](http://www.theverge.com/culture/2016/11/17/13667952/uber-restaurant-guide-big-data-rider-trips) & [uber](https://www.uber.com/info/restaurant-guide/) [Uber](https://www.trendhunter.com/trends/uber-one-exclusive-tables) restaurant guides are a unique way to discover great food in users' cities. The guides divide restaurants into several categories, and they rank the top 10 options based on where riders head to most often. Though Uber's primary purpose is to bring people from point A to point B, the company has excelled because of it's ability to make use of the subsequent data that it collects from these trips. In the case of Uber restaurant guides, the assumption is that if riders frequently enter a restaurant as a destination, it's probably a good spot to eat (or, at the very least, a popular spot to eat.) Capitalizing on this trove of proprietary information, Uber is providing consumers with these democratized guides. The categories in the Uber restaurant guides include 'Most popular,' 'Local favorites,' 'Up-and-coming,' 'Brunch spots,' and more. The guides are currently available for several US cities. ## Trend Insights (Trend Hunter) - Score: 1.3/10 - Popularity: 21% | Activity: 9% | Freshness: 8% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Lifestyle](https://www.trendhunter.com/lifestyle) > [Food](https://www.trendhunter.com/food) ## Key Themes ### What's Driving This Trend - **Data-driven Restaurant Guides:** By leveraging user data, companies can create restaurant guides based on popular dining spots, providing valuable insights to consumers. - **Democratized Culinary Recommendations:** Companies like Uber are democratizing access to popular dining spots by sharing user-generated recommendations, giving consumers a more diverse range of culinary options. - **Personalized Dining Experiences:** Using data from ride-sharing apps, personalized restaurant guides can be created to cater to individual preferences, enhancing the dining experience for consumers. ### Who This Affects Most - **Ride-sharing:** Ride-sharing companies can capitalize on their vast user data to create innovative restaurant guides, enhancing the overall user experience. - **Food & Beverage:** Restaurants and food delivery platforms can harness user data to curate personalized dining recommendations, fostering customer engagement and loyalty. - **Travel & Tourism:** The integration of restaurant guides within travel and tourism platforms can provide visitors with localized dining suggestions, enriching their travel experiences. ## Related on Trend Hunter - [High-End Restaurant Reservation Offers](https://www.trendhunter.com/trends/uber-one-exclusive-tables.md) - [Dater Dining Guides](https://www.trendhunter.com/trends/dining-guides.md) - [Short-Form Foodie Feeds](https://www.trendhunter.com/trends/uber-eats-6.md) - [iOS-Influenced Travel Apps](https://www.trendhunter.com/trends/uber-2.md) - [Food-Focused Travel Guide Platforms](https://www.trendhunter.com/trends/foodietrip.md) - [Menu Recommendation Tools](https://www.trendhunter.com/trends/dishfinder.md) - [Highly Sought-After Restaurant Features](https://www.trendhunter.com/trends/icons-programs.md) - [Expanded Food Delivery Apps](https://www.trendhunter.com/trends/instacart-3.md) - [Solo Dining Guides](https://www.trendhunter.com/trends/solo-dining-guide.md)