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Team Members:
Miguel Flores
Noel O. Morales
Ruby Tamberino
TA:
Problem Statement:
Platforms such as Yelp that allow the public to review businesses such as hotels and restaurants provide the modern traveler with more information in planning their itineraries than ever before. The open-forum nature of these sites, however, leaves the user to distinguish for themselves reviews that are reliable and informative from those that are not. A variant of this service that follows more naturally from the way we take recommendations by word of mouth would limit the reviews presented to the user to those written by friends, colleagues, and other “trusted” voices. Sites like TripAdvisor now support logging in through Facebook in order to indicate which travel spots have been reviewed by friends, but such results are often scarce and there is no way to filter based on which places friends have visited. As such there is really no method for users to efficiently glean from a search engine’s entire database a subset of hotels, restaurants, and other establishments visited and recommended by friends. This especially applies when the user is simply looking for things to do in a new city, and doesn’t have specific search parameters in mind.
GR1 Analysis:
User Analysis:
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