Restaurant Recommendation System
نویسنده
چکیده
There are many recommendation systems available for problems like shopping, online video entertainment, games etc. Restaurants & Dining is one area where there is a big opportunity to recommend dining options to users based on their preferences as well as historical data. Yelp is a very good source of such data with not only restaurant reviews, but also user-level information on their preferred restaurants. This report describes the work to learn to predict whether a given yelp user visiting a restaurant will like it or not. I explore the use of different machine learning techniques and also engineer features that perform well on this classification.
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تاریخ انتشار 2014