An integrated model for evaluation of big data challenges and analytical methods in recommender systems
The study aimed to present an integrated model for evaluation of big data (BD) challenges and analytical methods in recommender systems (RSs). The proposed model used fuzzy multi-criteria decision making (MCDM) which is a human judgment-based method for weighting of RSs' properties. Human judgm...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
SpringerOpen
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/33450/ |
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