タクマ ヒロノリ   Hironori Takuma
  田隈 広紀
   所属   千葉工業大学  社会システム科学部 プロジェクトマネジメント学科
   千葉工業大学  社会システム科学研究科 マネジメント工学専攻
   職種   准教授
言語種別 英語
発行・発表の年月 2020/09/14
形態種別 学術雑誌
査読 査読あり
標題 Improving Matching Process with Expanding and Classifying Criterial Keywords leveraging Word Embedding and Hierarchical Clustering Methods
執筆形態 共著
掲載誌名 The Review of Socionetwork Strategies
掲載区分国外
出版社・発行元 Springer
巻・号・頁 14(2),pp.193-204
総ページ数 11
著者・共著者 Yutaka Iwakami, Hironori Takuma, Motoi Iwashita
概要 Matching processes, such as the selection of producers of advertising content corresponding to specific products or the screening of job applicants based on predefined requirements, have become important operations required by enterprises. Such problems generally include several keywords representing the matching criteria, but it is difficult for enterprises to expand and classify criterial keywords properly to improve the matching performance. This study proposes solutions to this issue by extracting criterial keywords from social networking services (SNSs) based on word embedding and by classifying the obtained keywords via hierarchical clustering. This approach will enable enterprises to gather and prioritize criterial keywords more accurately to improve their matching processes.