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Detecting group shilling attacks in recommender systems based on maximum dense subtensor mining

Research article (2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), 2021) · cited 10× · AI/ML
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Detecting group shilling attacks in recommender systems based on maximum dense subtensor mining

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Detecting group shilling attacks in recommender systems based on maximum dense subtensor mining is a scholarly article[1].

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  • Detecting group shilling attacks in recommender systems based on maximum dense subtensor mining's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Detecting group shilling attacks in recommender systems based on maximum dense subtensor mining. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-group-shilling-attacks-in-recommender-systems-based-on-maximum-dense-subtensor-mining
MLA “Detecting group shilling attacks in recommender systems based on maximum dense subtensor mining.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-group-shilling-attacks-in-recommender-systems-based-on-maximum-dense-subtensor-mining.
BibTeX @misc{4ortxyz_detecting-group-shilling-attacks-in-recommender-systems-based-on-maximum-dense-subtensor-mining_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting group shilling attacks in recommender systems based on maximum dense subtensor mining}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-group-shilling-attacks-in-recommender-systems-based-on-maximum-dense-subtensor-mining}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting group shilling attacks in recommender systems based on maximum dense subtensor mining — https://4ort.xyz/entity/detecting-group-shilling-attacks-in-recommender-systems-based-on-maximum-dense-subtensor-mining (retrieved 2026-05-24)

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