A recommender geoportal for geospatial resource discovery and recommendation
| Autor: | Shokouh Dareshiri, Mohammadreza Sahelgozin, Mahdi Farnaghi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Atmospheric Science
Geospatial analysis 010504 meteorology & atmospheric sciences business.industry Computer science media_common.quotation_subject Geography Planning and Development 0211 other engineering and technologies Mechanism based 02 engineering and technology Recommender system computer.software_genre 01 natural sciences World Wide Web General Energy Resource (project management) Quality (business) The Internet business Spatial analysis computer Geoportal 021101 geological & geomatics engineering 0105 earth and related environmental sciences media_common |
| Zdroj: | Journal of Spatial Science. 64:49-71 |
| ISSN: | 1836-5655 1449-8596 |
| Popis: | Geoportals have been widely implemented by national spatial data infrastructures (NSDI) to provide users with the ability to search for geospatial resources over the Internet. This paper proposes an approach that can improve the functionalities of the conventional geoportals by adding recommendation capabilities to the execution mechanisms of geoportals. The geoportals with recommendation capability are able to analyse users’ activities and recommend geospatial resources to users based on their desires and preferences. A hybrid recommendation mechanism based on the singular value decomposition (SVD) method is developed to provide required prediction and recommendation capabilities. Spatial attributes of geospatial resources along with users’ characteristics are utilised to improve the quality of the recommendations. To evaluate the feasibility of the proposed approach, a prototype system was developed and implemented. The results show that the recommender geoportal can relatively predict users’ desires and preferences and provide them with useful geospatial resources. (Less) |
| Databáze: | OpenAIRE |
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