Predicting Days on Market to Optimize Real Estate Sales Strategy
Joint Authors
Castelli, Mauro
Vanneschi, Leonardo
Henriques, Roberto
Dobreva, Maria
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-25
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
Irregularities and frauds are frequent in the real estate market in Bulgaria due to the substantial lack of rigorous legislation.
For instance, agencies frequently publish unreal or unavailable apartment listings for a cheap price, as a method to attract the attention of unaware potential new customers.
For this reason, systems able to identify unreal listings and improve the transparency of listings authenticity and availability are much on demand.
Recent research has highlighted that the number of days a published listing remains online can have a strong correlation with the probability of a listing being unreal.
For this reason, building an accurate predictive model for the number of days a published listing will be online can be very helpful to accomplish the task of identifying fake listings.
In this paper, we investigate the use of four different machine learning algorithms for this task: Lasso, Ridge, Elastic Net, and Artificial Neural Networks.
The results, obtained on a vast dataset made available by the Bulgarian company Homeheed, show the appropriateness of Lasso regression.
American Psychological Association (APA)
Castelli, Mauro& Dobreva, Maria& Henriques, Roberto& Vanneschi, Leonardo. 2020. Predicting Days on Market to Optimize Real Estate Sales Strategy. Complexity،Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1141978
Modern Language Association (MLA)
Castelli, Mauro…[et al.]. Predicting Days on Market to Optimize Real Estate Sales Strategy. Complexity No. 2020 (2020), pp.1-22.
https://search.emarefa.net/detail/BIM-1141978
American Medical Association (AMA)
Castelli, Mauro& Dobreva, Maria& Henriques, Roberto& Vanneschi, Leonardo. Predicting Days on Market to Optimize Real Estate Sales Strategy. Complexity. 2020. Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1141978
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141978