カワイ ユキコ   KAWAI YUKIKO
  河合 由起子
   所属   京都産業大学  情報理工学部 情報理工学科
   職種   教授
言語種別 英語
発行・発表の年月 2013
形態種別 研究論文(国際会議プロシーディングス)
査読 査読あり
標題 Personalized web search using emotional features
執筆形態 その他
掲載誌名 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版社・発行元 Springer
巻・号・頁 8127,pp.69-83
著者・共著者 Jianwei Zhang,Katsutoshi Minami,Yukiko Kawai,Yuhki Shiraishi,Tadahiko Kumamoto
概要 Re-ranking and re-retrieval of search results are useful techniques for satisfying users' search intentions, since current search engines cannot always return user-desired pages at the top ranks. In this paper, we propose a system for personalized Web search considering users' emotional aspects. Given a query topic, the system presents the major emotion tendency on this topic that search results returned from search engines are reflecting. The system also enables users to specify the polarities and strengths of their emotions (e.g., happy or sad, glad or angry, peaceful or strained) on this topic and offers a re-ranking list of initial search results based on the similarity of emotions. Particularly, the system can automatically obtain Web pages with minor emotion tendency on the query topic by extracting sub-queries with opposite emotions and conducting a re-retrieval. Experimental evaluations show the re-ranking and the re-retrieval achieve encouraging search results in comparison with initial search results. © 2013 IFIP International Federation for Information Processing.
DOI 10.1007/978-3-642-40511-2_6
ISSN 0302-9743/1611-3349
DBLP ID conf/IEEEares/0002MKSK13
PermalinkURL http://dblp.uni-trier.de/db/conf/IEEEares/cd-ares2013.html#conf/IEEEares/0002MKSK13