Where is the goldmine? Finding promising business locations through Facebook data analytics

• Main Authors: LIN, Jovian, OENTARYO, Richard, Ee-peng LIM, VU, Casey, VU, Adrian, Kwee, Agus
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Location analytics; Facebook; feature extraction; machine learning; Computer Sciences; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/3452; https://ink.library.smu.edu.sg/context/sis_research/article/4453/viewcontent/162___Where_is_the_Goldmine_Finding_Promising_Business_Locations_through_Facebook_Data_Analytics__Hypertext2016_.pdf
• Institution: Singapore Management University

If you were to open your own cafe, would you not want to effortlessly identify the most suitable location to set up your shop? Choosing an optimal physical location is a critical decision for numerous businesses, as many factors contribute to the final choice of the location. In this paper, we seek...