Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System

Research article (IEEE Access, 2023) · cited 17× · AI/ML
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Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System

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Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System. Retrieved May 24, 2026, from https://4ort.xyz/entity/experimental-and-theoretical-study-for-the-popular-shilling-attacks-detection-methods-in-collaborative-recommender-syste
MLA “Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/experimental-and-theoretical-study-for-the-popular-shilling-attacks-detection-methods-in-collaborative-recommender-syste.
BibTeX @misc{4ortxyz_experimental-and-theoretical-study-for-the-popular-shilling-attacks-detection-methods-in-collaborative-recommender-syste_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System}}, year = {2026}, url = {https://4ort.xyz/entity/experimental-and-theoretical-study-for-the-popular-shilling-attacks-detection-methods-in-collaborative-recommender-syste}, note = {Accessed: 2026-05-24}}
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