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

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

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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