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http://dx.doi.org/10.6109/jkiice.2010.14.1.070

RankBoost Algorithm for Personalized Education of Chinese Characters on Smartphone  

Kang, Dae-Ki (동서대학교 컴퓨터정보공학부)
Chang, Won-Tae (동서대학교 컴퓨터정보공학부)
Abstract
In this paper, we propose a personalized Chinese character education system using RankBoost algorithm on a smartphone. In a typical Chinese character education scenario, a trainee is supplied with a finite number of Chinese characters as an input set in the beginning. And, as the training session repeats, the trainee will notice her/his difficult characters in the set which she/he hardly answers. Those characters reflect their personalized degrees of difficulty. Our proposed system constructs these personalized degrees of difficulty using RankBoost algorithm. In the beginning, the algorithm start with the set of Chinese characters, of which each is associated with the same weight values. As the training sessions are repeated, the algorithm increase the weights of Chinese characters that the trainee mistakes, thereby eventually constructs the personalized difficulty degrees of Chinese characters. The proposed algorithm maximizes the educational effects by having the trainee exposed to difficult characters more than easy ones.
Keywords
Android; Smartphone; RankBoost; Learning Algorithms;
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