人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
論文
電子掲示板のリンク情報に基づく流行的話題の予測
片上 大輔大久保 亮介新田 克己
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ジャーナル フリー

2006 年 21 巻 6 号 p. 459-472

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The purpose of this research is to predict the subjects which will become the fashion in an electronic bulletin board in the near future. We proposed the technique which analyzes propagation of the subject based on link information. To extract the pattern of propagation, we proposed several criteria to measure the fashion degree of the subject based on link information which appears in contributed articles. We realized prediction method with unknown subject in fashion using the classification by Support Vector Machine. We conducted experiments to verify the validity of this technique with known collected fashion-subjects.

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© 2006 JSAI (The Japanese Society for Artificial Intelligence)
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