Conference Proceeding Article
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 the business in. We evaluate our system using data of foodbusinesses in Singapore and assess the contribution of different feature groups to therecommendation quality.
Facebook, social media, business, location recommendation
Databases and Information Systems
Data Management and Analytics
European Conference on Information Retrieval 38th ECIR 2016, March 20-23, Padua: Proceedings
City or Country
LIN, Jovian; OENTARYO, Richard Jayadi; Ee-peng LIM; VU, Casey; VU, Adrian Wei Liang; and and PRASETYO, Philips Kokoh.
A business zone recommender system based on Facebook and urban planning data. (2016). European Conference on Information Retrieval 38th ECIR 2016, March 20-23, Padua: Proceedings. 641-647. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3460
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Creative Commons License
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