Towards intelligent geospatial data discovery: a machine learning framework for search ranking

Current search engines in most geospatial data portals tend to induce users to focus on one single-data characteristic dimension (e.g. popularity and release date). This approach largely fails to take account of users’ multidimensional preferences for geospatial data, and hence may likely result in...

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Bibliographic Details
Main Authors: Yongyao Jiang, Yun Li, Chaowei Yang, Fei Hu, Edward M. Armstrong, Thomas Huang, David Moroni, Lewis J. McGibbney, Christopher J. Finch
Format: Article
Language:English
Published: Taylor & Francis Group 2018-09-01
Series:International Journal of Digital Earth
Subjects:
Online Access:http://dx.doi.org/10.1080/17538947.2017.1371255