A genre trust model for defending shilling attacks in recommender systems
Abstract Shilling attacks have been a significant vulnerability of collaborative filtering (CF) recommender systems, and trust in CF recommender algorithms has been proven to be helpful for improving the accuracy of system recommendations. As a few studies have been devoted to trust in this area, we...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer
2021-04-01
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| Serier: | Complex & Intelligent Systems |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/s40747-021-00357-2 |
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