• D S Spoorthy
• A M Anmoldeep
• Jayanth G
• Jnanashree A G
• Sushmitha S

The basic idea of analyzing the Zomato dataset is to get a fair idea about the factors affecting the establishment of different types of restaurant at different places in Bengaluru, aggregate rating of each restaurant, Bengaluru being one such city has more than 12,000 restaurants with restaurants serving dishes from all over the world. With each day new restaurants opening the industry hasn’t been saturated yet and the demand is increasing day by day. In spite of increasing demand it however has become difficult for new restaurants to compete with established restaurants, most of them serving the same food. Bengaluru being the IT capital of India, most people here are dependent mainly on the restaurant food as they don’t have time to cook for themselves. With such an overwhelming demand of restaurants it has therefore become important to study the demography of a location.

Linear Regression, Random Forest Tree, Latent Factor Model, Decision Tree, Support Vector Machine.

"Geographical Location Recommendation System for Restaurants in Bengaluru", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.2111-2114, June-2020, Available :http://www.jetir.org/papers/JETIR2006306.pdf

"Geographical Location Recommendation System for Restaurants in Bengaluru", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp2111-2114, June-2020, Available at : http://www.jetir.org/papers/JETIR2006306.pdf