Analysing supervised learning approaches for detecting shilling attacks in collaborative recommendations
Collaborative recommendation systems offer users personalized recommendations based on their past interactions and the actions of other users. However, these systems can be compromised by shilling attacks, in which fake feedback and ratings are introduced in order to manipulate the recommendations m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2023/04/itmconf_I3cs2023_01009.pdf |