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...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2018-09-01
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Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17538947.2017.1371255 |