Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks

Research article (Expert Systems with Applications, 2018) · cited 50× · AI/ML
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Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks

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Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks. Retrieved May 24, 2026, from https://4ort.xyz/entity/robustness-analysis-of-multi-criteria-collaborative-filtering-algorithms-against-shilling-attacks
MLA “Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robustness-analysis-of-multi-criteria-collaborative-filtering-algorithms-against-shilling-attacks.
BibTeX @misc{4ortxyz_robustness-analysis-of-multi-criteria-collaborative-filtering-algorithms-against-shilling-attacks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks}}, year = {2026}, url = {https://4ort.xyz/entity/robustness-analysis-of-multi-criteria-collaborative-filtering-algorithms-against-shilling-attacks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks — https://4ort.xyz/entity/robustness-analysis-of-multi-criteria-collaborative-filtering-algorithms-against-shilling-attacks (retrieved 2026-05-24)

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