Robust model-based reliability approach to tackle shilling attacks in collaborative filtering recommender systems
As the use of recommender systems becomes generalized in society, the interest in varying
the orientation of their recommendations is increasing. There are shilling attacks' strategies …
the orientation of their recommendations is increasing. There are shilling attacks' strategies …
An outlier accuracy improvement in shilling attacks using ksom
Due to the rapid technological changes, these days collaborative filtering-based
recommender systems are being widely used worldwide. Collaborative filtering approach is …
recommender systems are being widely used worldwide. Collaborative filtering approach is …
A Comparative Evaluation of Profile Injection Attacks
In recent years, the research on shilling attacks has been greatly improved. However, some
serious problem in hand such as attack model dependency and high computational cost …
serious problem in hand such as attack model dependency and high computational cost …
[PDF][PDF] Shilling attack detection in recommender systems using classification techniques
P Kaur, S Goel - Int J Eng Appl Sci Technol, 2016 - ijeast.com
Collaborative filtering based recommender system is prone to shilling attacks because of its
open nature. Shillers inject pseudonomous profiles in the system's database with the intent …
open nature. Shillers inject pseudonomous profiles in the system's database with the intent …