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• W2335664510 abstract "ABSTRACT With the extreme development of Internet, recently most users r efer the sites with the various Recommendation Systems (RSs) when they want to buy some stuff, movie and music. Howeve r, the possibilities of the Sybils with the malicious behaviors may exists in these RSs sites in which Sybils intentionally inc rease or decrease the rating values. The RSs cannot play an accurate role of the proper recommendations to the general norm al users. In this paper, we divide the given rating values into the stable or unstable states and propose a system information based recommendation algorithm that minimizes the malicious user’s influence. To evaluate the performance of the proposed s cheme, we directly crawl the real trace data from the famous movie site and analyze the performance. After that, we showed p roposed scheme performs well compared to existing algorithms. Keywords: Recommendation system, Sybil, Social network I.서 론 * 최근 소셜 네트워크 서비스가 활성화되면서 사용자들에게 적합한 아이템들을 추천해 줄 수 있는 추천" @default.
• W2335664510 created "2016-06-24" @default.
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• W2335664510 creator A5073587128 @default.
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• W2335664510 date "2015-12-31" @default.
• W2335664510 modified "2023-09-24" @default.
• W2335664510 title "State Information Based Recommendation Algorithm for Minimizing the Malicious User's Influence" @default.
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• W2335664510 doi "https://doi.org/10.13089/jkiisc.2015.25.6.1353" @default.
• W2335664510 hasPublicationYear "2015" @default.
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