An adaptive RNN algorithm to detect shilling attacks for online products in hybrid recommender system

An adaptive RNN algorithm to detect shilling attacks for online products in hybrid recommender system

Recommender system (RS) depends on the thoughts of numerous users to predict the favourites of potential consumers. RS is vulnerable to malicious information. Unsuitable products can be offered to the user by injecting a few unscrupulous “shilling” profiles like push and nuke attacks into the RS. In...

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Bibliographic Details
Main Authors: Chopra Akanksha Bansal, Dixit Veer Sain
Format: Article
Language:English
Published: De Gruyter 2022-10-01
Series:Journal of Intelligent Systems
Subjects:
recommender system
shilling profile
modified density peak clustering
adaptive recurrent neural network
Online Access:https://doi.org/10.1515/jisys-2022-1023

Internet

https://doi.org/10.1515/jisys-2022-1023

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