Improving Deep Learning-Based Recommendation Attack Detection Using Harris Hawks Optimization

Improving Deep Learning-Based Recommendation Attack Detection Using Harris Hawks Optimization

Recommendation attack attempts to bias the recommendation results of collaborative recommender systems by injecting malicious ratings into the rating database. A lot of methods have been proposed for detecting such attacks. Among these works, the deep learning-based detection methods get rid of the...

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Bibliographic Details
Main Authors: Quanqiang Zhou, Cheng Huang, Liangliang Duan
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
collaborative recommender systems
recommendation attack
attack detection
Harris Hawks Optimization
Online Access:https://www.mdpi.com/2076-3417/12/19/10135

Internet

https://www.mdpi.com/2076-3417/12/19/10135

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