A business zone recommender system based on Facebook and urban planning data

• Main Authors: LIN, Jovian, OENTARYO, Richard Jayadi, LIM, Ee Peng, VU, Casey, VU, Adrian Wei Liang, and PRASETYO, Philips Kokoh
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Facebook; Social media; Business; Location recommendation; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3460; https://ink.library.smu.edu.sg/context/sis_research/article/4461/viewcontent/154___A_Business_Zone_Recommender_System_Based_on_Facebook_and_Urban_Planning_Data.pdf
• Institution: Singapore Management University

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 systemconsists of machine learning algorithms that take in a business’ metadata and outputs a list ofrecommended zones to establish...