Journal article
HomeSeeker: A visual analytics system of real estate data
M Li, Z Bao, T Sellis, S Yan, R Zhang
Journal of Visual Languages and Computing | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD | Published : 2018
Abstract
In this paper, we present HomeSeeker, an interactive visual analytics system to serve users with different backgrounds of the local real estate market and meet different degrees of user requirements. As a result, HomeSeeker augments existing commercial systems to help users discover hidden patterns, link various location-centered data to the price, as well as explore, filter and compare the properties, in order to easily find their preferred properties. In particular, we make the following contributions: (1) We present a problem abstraction for designing visualizations that help home buyers analyse the real estate data. Specifically, our data abstraction integrates heterogeneous data from di..
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Awarded by Appalachian Regional Commission
Funding Acknowledgements
This work was partially supported by ARC DP170102726, DP170102231, DP180102050, and National Natural Science Foundation of China (NSFC) 61728204, 91646204. Zhifeng Bao is supported by a Google Faculty Award.