Shilling attack detection for collaborative recommender systems: a gradient boosting method

• Published in: Mathematical biosciences and engineering : MBE Vol. 19; no. 7; pp. 7248 - 7271
• Main Authors: Shao, Chen, Sun, Yue zhong yi
• Format: Journal Article
• Language: English
• Published: AIMS Press 01.01.2022
• Subjects: collaborative filtering; ensemble learning; gradient boosting; recommendation system; shilling attack detection

Organized malicious shilling attackers influence the output of the collaborative filtering recommendation systems by inserting fake users into the rating matrix within the database. The existence of shilling attack poses a serious risk to the stability of the system. To counter this specific securit...