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http://dx.doi.org/10.13089/JKIISC.2016.26.4.953

Bipartite Preference aware Robust Recommendation System  

Lee, Jaehoon (Seoul National University)
Oh, Hayoung (Ajou University)
Kim, Chong-kwon (Seoul National University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.26, no.4, 2016 , pp. 953-960 More about this Journal
Abstract
Due to the prevalent use of online systems and the increasing amount of accessible information, the influence of recommender systems is growing bigger than ever. However, there are several attempts by malicious users who try to compromise or manipulate the reliability of recommender systems with cyber-attacks. By analyzing the ratio of 'sympathy' against 'apathy' responses about a concerned review and reflecting the results in a recommendation system, we could present a way to improve the performance of a recommender system and maintain a robust system. After collecting and applying actual movie review data, we found that our proposed recommender system showed an improved performance compared to the existing recommendation systems.
Keywords
Recommendation system; Sybil attack; Movie site crawling;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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