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Congrat! Junsu for the best paper award at Korean database conference 2017.

posted Oct 10, 2018, 9:33 PM by Hwanjo Yu   [ updated Oct 10, 2018, 10:08 PM ]
His paper, "k-평균 알고리즘을 통한 행렬 원소 양자화를 이용한 행렬 분해 기법 모델 크기 압축", won the best paper award at KDBC 2017. This paper proposes a novel method for compressing the matrix factorization model, and his method is currently the most effective method for compressing the matrix factorization model.
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