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  • 标题:Prediction of the Fashion-subject Based on the Link Information on Electronic Bulletin Board
  • 本地全文:下载
  • 作者:Daisuke Katagami ; Ryosuke Ohkubo ; Katsumi Nitta
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2006
  • 卷号:21
  • 期号:6
  • 页码:459-472
  • DOI:10.1527/tjsai.21.459
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要: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.
  • 关键词:subject propagation model ; fashion-subject ; link information ; BBS
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