  We present ZoneRec---a zone recommendation system for physical businesses in
an urban city, which uses both public business data from Facebook and urban
planning data. The system consists of machine learning algorithms that take in
a business' metadata and outputs a list of recommended zones to establish the
business in. We evaluate our system using data of food businesses in Singapore
and assess the contribution of different feature groups to the recommendation
quality.
