Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
3-2016
Abstract
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.
Keywords
Facebook, Social media, Business, Location recommendation
Discipline
Databases and Information Systems
Publication
European Conference on Information Retrieval 38th ECIR 2016, March 20-23, Padua: Proceedings
First Page
641
Last Page
647
ISBN
9783319306704
Identifier
10.1007/978-3-319-30671-1_47
Publisher
Springer
City or Country
Germany
Citation
LIN, Jovian; OENTARYO, Richard Jayadi; LIM, Ee Peng; 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.
Available at: https://ink.library.smu.edu.sg/sis_research/3460
Copyright Owner and License
LARC
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1007/978-3-319-30671-1_47