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  2. Hotel rating - Wikipedia

    en.wikipedia.org/wiki/Hotel_rating

    In France, the rating is defined by the public tourist board (Atout France) using a four-star system (plus "L" for Luxus), which has changed to a five-star system from 2009 on. [5] In South Africa, the Tourist Grading Council of South Africa has strict rules for a hotel types granting up to 5 stars.

  3. Forbes Travel Guide - Wikipedia

    en.wikipedia.org/wiki/Forbes_Travel_Guide

    Forbes Travel Guide (formerly known as Mobil Guide or Mobil Travel Guide) is a star rating service and online travel guide for hotels, restaurants and spas. [1] In 2011, Forbes Travel Guide published its last set of guidebooks and, on November 15, 2011, launched its new online home, ForbesTravelGuide.com, [2] which covers numerous international destinations, including Hong Kong, Macau, Beijing ...

  4. How to find your own Uber rating -- as a passenger - AOL

    www.aol.com/news/2016-02-16-how-to-find-your-own...

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  5. Star (classification) - Wikipedia

    en.wikipedia.org/wiki/Star_(classification)

    Star ratings are a type of rating scale using a star glyph or similar typographical symbol. It is used by reviewers for ranking things such as films, TV shows, restaurants, and hotels. It is used by reviewers for ranking things such as films, TV shows, restaurants, and hotels.

  6. Discover the latest breaking news in the U.S. and around the world — politics, weather, entertainment, lifestyle, finance, sports and much more.

  7. Uber vs. Lyft: Pros and Cons of Each Rideshare Service - AOL

    www.aol.com/finance/uber-vs-lyft-pros-cons...

    Over 4,700 driver reviews on Indeed.com give Lyft a cumulative rating of 3.5 out of five stars. Uber’s profile on Indeed.com reflects 10,108 driver reviews, with a cumulative average rating of 3 ...

  8. Location-based recommendation - Wikipedia

    en.wikipedia.org/wiki/Location-based_recommendation

    Location-based recommendation is a recommender system that incorporates location information, such as that from a mobile device, into algorithms to attempt to provide more-relevant recommendations to users. This could include recommendations for restaurants, museums, or other points of interest or events near the user's location.

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