Recommendation with quantitative implication rules
Association rules based recommendation is one of approaches to develop recommendation systems. However, such systems just focus on binary dataset, whereas many datasets are in the quantitative form. There are many solutions proposed for this problem such as combining the association rules mining wit...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
European Alliance for Innovation (EAI)
2019-03-01
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Series: | EAI Endorsed Transactions on Context-aware Systems and Applications |
Subjects: | |
Online Access: | https://eudl.eu/pdf/10.4108/eai.13-7-2018.156837 |