Towards Real Estate Analytics using Map Personalisation

Mariam Mubarak, Kamran Khalid, Fizza Waqar, Ali Tahir, Ibraheem Haneef, Gavin McArdle, Michela Bertolotto

Abstract

The value of global real estate was $217 trillion in 2015 which is 2.7 times world GDP, making up roughly 60% of mainstream global assets and consequently it is considered one of the main drivers of economic growth. The availability of geospatial big data can assist real estate stakeholders to make informed decisions and increase their profits. Location plays a significant role in real estate decision making and so maps represent an excellent resource for real estate planning. Personalisation can assist with real estate decisions by ascertaining a user’s interests and preferences which can be captured via interaction with maps. A personalised real estate portal can then use this information to recommend properties on the web aiding property buyers and provide valuable real estate analytics. In this paper, we propose an approach for a personalised real estate platform called Estatech Maps. This will be a pioneer in the real estate industry, the key focus of which is to alter the prevailing management practices by imparting GIS and data analytics as long-term solutions.

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Paper Citation


in Harvard Style

Mubarak M., Khalid K., Waqar F., Tahir A., Haneef I., McArdle G. and Bertolotto M. (2020). Towards Real Estate Analytics using Map Personalisation.In Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-425-1, pages 184-190. DOI: 10.5220/0009368301840190


in Bibtex Style

@conference{gistam20,
author={Mariam Mubarak and Kamran Khalid and Fizza Waqar and Ali Tahir and Ibraheem Haneef and Gavin McArdle and Michela Bertolotto},
title={Towards Real Estate Analytics using Map Personalisation},
booktitle={Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2020},
pages={184-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009368301840190},
isbn={978-989-758-425-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Towards Real Estate Analytics using Map Personalisation
SN - 978-989-758-425-1
AU - Mubarak M.
AU - Khalid K.
AU - Waqar F.
AU - Tahir A.
AU - Haneef I.
AU - McArdle G.
AU - Bertolotto M.
PY - 2020
SP - 184
EP - 190
DO - 10.5220/0009368301840190