2015 RealEstateRankingviaMixedLandUs

• (Fu et al., 2015) ⇒ Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, and Chen Zhu. (2015). “Real Estate Ranking via Mixed Land-use Latent Models.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783383

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222015%22+Real+Estate+Ranking+via+Mixed+Land-use+Latent+Models
• http://dl.acm.org/citation.cfm?id=2783258.2783383&preflayout=flat#citedby

Quotes

Author Keywords

• Data mining; functional diversity; human mobility; mixed-land using; real estate ranking; urban geography

Abstract

Mixed land use refers to the effort of putting residential, commercial and recreational uses in close proximity to one another. This can contribute economic benefits, support viable public transit, and enhance the perceived security of an area. It is naturally promising to investigate how to rank real estate from the viewpoint of diverse mixed land use, which can be reflected by the portfolio of community functions in the observed area. To that end, in this paper, we develop a geographical function ranking method, named FuncDivRank, by incorporating the functional diversity of communities into real estate appraisal. Specifically, we first design a geographic function learning model to jointly capture the correlations among estate neighborhoods, urban functions, temporal effects, and user mobility patterns. In this way we can learn latent community functions and the corresponding portfolios of estates from human mobility data and Point of Interest (POI) data. Then, we learn the estate ranking indicator by simultaneously maximizing ranking consistency and functional diversity, in a unified probabilistic optimization framework. Finally, we conduct a comprehensive evaluation with real-world data. The experimental results demonstrate the enhanced performance of the proposed method for real estate appraisal.

References

;

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 RealEstateRankingviaMixedLandUs	Hui Xiong Spiros Papadimitriou Yanjie Fu Hengshu Zhu Guannan Liu Chen Zhu Yong Ge			Real Estate Ranking via Mixed Land-use Latent Models				10.1145/2783258.2783383		2015