タクマ ヒロノリ   Hironori Takuma   田隈　広紀    所属   千葉工業大学  未来変革科学部 デジタル変革科学科    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   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.