Bio
Dr. Arunesh is an Associate Professor of Computer Science affiliated with Bharathidasan University, Tricirappalli, India and Madurai Kamaraj University Madurai. He has contributed research on predictability issues in recommender systems and is associated with Sri S.R.N.M College, Sattur, Virudhunagar District, Tamil Nadu. He has served as a journal reviewer and author, focusing on machine learning and recommender systems.
Experience
Sri S.R.N.M College
Associate Professor
0 - 0 • Computer ScienceEditors Role
Reviewer
GJCST
2019 - PresentResearch
Predictability Issues in Recommender Systems Based on Web Usage Behavior towards Robust Collaborative Filtering
This paper examines the effect of Recommender Systems in security oriented issues. Currently research has begun to evaluate the vulnerabilities and robustness of various collaborative recommender techniques in the face of profile injection and shilling attacks. Standard collaborative filtering algorithms are vulnerable to attacks. The robustness of recommender system and the impact of attacks are well suited this study and examined in this paper. The predictability issues and the various attack strategies are also discussed. Based on KNN the robustness of the recommender system were examined and the sensitivity of the rating given by the users are also analyzed. Furthermore the robust PLSA also considered for the work.
