An Evaluation of Neighbourhood Formation on the Performance of Collaborative Filtering
By Michael P. O'Mahony, Neil J. Hurley, Guenole C. M. Silvestre. 2004
36 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems, Transportation
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In Computer Science Applications
In Information Systems
Citations in the corpus
- Stable and Fair Classification (2019, background): “The dataset, that incorporates collected personal information, may be noisy due to measurement errors, privacy issues, or even data poisoning attacks [46, 56, 59, 6] and, hence, it is desirable that the fair classifier also be stable against perturbations in the dataset.”
- Recommender Systems (2016, unknown): “For example, attackers might use knowledge of the criteria for detecting attack profiles [397], use obfuscated methods to mount attacks [631], or design attack methods targeting specific collaborative filtering models [522].”