PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction
Author:
Affiliation:
1. The University of Hong Kong
2. Beihang University
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10032305/10032324/10032416.pdf?arnumber=10032416
Reference26 articles.
1. The Economic Value of Neighborhoods: Predicting Real Estate Prices from the Urban Environment
2. The New Urban Success: How Culture Pays
3. Time-Aware Latent Hierarchical Model for Predicting House Prices
4. H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing
5. Urban Perception of Commercial Activeness from Satellite Images and Streetscapes
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