SPAM DETECTION USING MACHINE LEARNING TECHNIQUES IN AN ONLINE RECOMMENDATION SYSTEM

The detection of group shilling attacks, in which a group of attackers conspires to skew the results of an online recommender system by injecting fake profiles, is rarely addressed by existing shilling attack detection approaches, which are primarily focused on systems. This article suggests a metho...

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Veröffentlicht in:	NeuroQuantology 2022-01, Vol.20 (15), p.3446
Hauptverfasser:	Amarnadh, V, Harshitha, K
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Assaults Computer science Machine learning Recommender systems
Online-Zugang:	Volltext
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