Shilling attacks against recommender systems: a comprehensive survey

By Ihsan Günes, Cihan Kaleli, Alper Bilge, Huseyin Polat. Artificial Intelligence Review, 2012

340 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/0c696eb04e6a9075d88e41c508faaee25065e733

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Deepjyoti Roy
2. Mala Dutta

Citations in the corpus

• Recommender Systems (2016, neutral): “Surveys on shilling attacks and attack-resistant recommender systems may be found in [119, 236].”
• A systematic review and research perspective on recommender systems (2022, background): “This problem arises when a malicious user fakes his identity and enters the system to give false item ratings [87].”