Spotting anomalous ratings for rating systems by analyzing target users and items

Research article (Neurocomputing, 2017) · cited 21× · AI/ML
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Spotting anomalous ratings for rating systems by analyzing target users and items

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Spotting anomalous ratings for rating systems by analyzing target users and items is a scholarly article[1].

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  • Spotting anomalous ratings for rating systems by analyzing target users and items's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Spotting anomalous ratings for rating systems by analyzing target users and items. Retrieved May 24, 2026, from https://4ort.xyz/entity/spotting-anomalous-ratings-for-rating-systems-by-analyzing-target-users-and-items
MLA “Spotting anomalous ratings for rating systems by analyzing target users and items.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spotting-anomalous-ratings-for-rating-systems-by-analyzing-target-users-and-items.
BibTeX @misc{4ortxyz_spotting-anomalous-ratings-for-rating-systems-by-analyzing-target-users-and-items_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spotting anomalous ratings for rating systems by analyzing target users and items}}, year = {2026}, url = {https://4ort.xyz/entity/spotting-anomalous-ratings-for-rating-systems-by-analyzing-target-users-and-items}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Spotting anomalous ratings for rating systems by analyzing target users and items — https://4ort.xyz/entity/spotting-anomalous-ratings-for-rating-systems-by-analyzing-target-users-and-items (retrieved 2026-05-24)

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