CSE 255 - Assignment
نویسنده
چکیده
In this assignment we studied Google Local’s Maps and Restaurants data. The goal was to extract restaurants’ information from the dataset and to study how restaurants perform based on different features offered by the dataset. We studied three main features and how they affect a restaurant to stay in business; one was related to the geographical grouping of the restaurants, the other was how users’ reviews affect a business and finally how users’ ratings were involved. We used these three main features to predict whether a restaurant would stay in business or it would be closed. There were 3747937 users, 3114353 places, and 11453845 reviews in this dataset. From the businesses in the dataset 3014137 were marked as open and 100215 were closed which means that 3.32% of the businesses mentioned in the dataset were marked as closed. The place with the most number of reviews was ”Eiffel Tower” with 1662 reviews. The number of reviews formed a sharp long-tail with only 126 places (0.0040% of the places) having 300 or more reviews and the rest with fewer reviews.
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تاریخ انتشار 2015