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Detecting shilling attacks in recommender systems based on analysis of user rating behavior

Research article (Knowledge-Based Systems, 2019) · cited 51× · AI/ML
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Detecting shilling attacks in recommender systems based on analysis of user rating behavior

Summary

Detecting shilling attacks in recommender systems based on analysis of user rating behavior is a scholarly article[1].

Key Facts

  • Detecting shilling attacks in recommender systems based on analysis of user rating behavior's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Detecting shilling attacks in recommender systems based on analysis of user rating behavior. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-shilling-attacks-in-recommender-systems-based-on-analysis-of-user-rating-behavior
MLA “Detecting shilling attacks in recommender systems based on analysis of user rating behavior.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-shilling-attacks-in-recommender-systems-based-on-analysis-of-user-rating-behavior.
BibTeX @misc{4ortxyz_detecting-shilling-attacks-in-recommender-systems-based-on-analysis-of-user-rating-behavior_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting shilling attacks in recommender systems based on analysis of user rating behavior}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-shilling-attacks-in-recommender-systems-based-on-analysis-of-user-rating-behavior}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting shilling attacks in recommender systems based on analysis of user rating behavior — https://4ort.xyz/entity/detecting-shilling-attacks-in-recommender-systems-based-on-analysis-of-user-rating-behavior (retrieved 2026-05-24)

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