Yelp User Rating Prediction
نویسندگان
چکیده
Yelp is a popular crowd-sourced local business reviews and social networking platform. For each individual business, users can submit a review on their products or services using a one to five star rating system while interacting with each other through following users and voting on reviews. Having accumulated an enormous amount of data on information, reviews, and ratings of businesses, Yelp has become an important reference for making consumer decision. However, going through a large quantity of raw data can be time consuming. In order to overcome information overload, we would like to create a more efficient option that gives users suggestions that are tailored to their personal preferences.
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