Who is Really Affected by Fraudulent Reviews?
An analysis of shilling attacks on recommender systems in real-world scenarios
Preprint
(2018)
Author(s)
Francesca Spezzano (Boise State University)
Anu Shrestha (Boise State University)
Maria Soledad Pera (Boise State University)
Affiliation
External organisation
DOI related publication
https://doi.org/10.48550/arXiv.1808.07025
To reference this document use:
https://resolver.tudelft.nl/uuid:ecfc886e-0bbe-4373-8a4f-748f732254e5
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Publication Year
2018
Language
English
Affiliation
External organisation
Abstract
We present the results of an initial analysis conducted on a real-life setting to quantify the effect of shilling attacks on recommender systems. We focus on both algorithm performance as well as the types of users who are most affected by these attacks.
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