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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 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2006 |
| 形態種別 | 研究論文 |
| 査読 | 査読あり |
| 標題 | User preference modeling based on interest and impressions for news portal site systems |
| 執筆形態 | その他 |
| 掲載誌名 | DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS |
| 出版社・発行元 | SPRINGER-VERLAG BERLIN |
| 巻・号・頁 | 4080,pp.549-559 |
| 著者・共著者 | Yukiko Kawai,Tadahiko Kumamoto,Katsumi Tanaka |
| 概要 | We have developed an application called My Portal Viewer (MPV)[1] that effectively integrates many articles collected from multiple news sites and presents these integrations through a familiar interface such as a page the user has often visited. MPV dynamically determines keywords of interest that a user might potentially be interested in based on the history of the articles the user has read and creates categories based on these interest words. MPV and many other similar integration systems, however, cause problems where users cannot find only their interest articles in each category because they are only ranked by frequency and the cooccurrence of keywords. We propose a new method of selecting further articles from each category using a user's impressions of articles. The improved MPV, called MPV Plus, selects and recommends more desirable articles using the method we propose. This paper presents the design concept and process flow of MPV Plus and reports on its effectiveness as evaluated in experiments. |
| DOI | 10.1007/11827405_54 |
| ISSN | 0302-9743 |
| DBLP ID | conf/dexa/KawaiKT06 |
| PermalinkURL | http://dblp.uni-trier.de/db/conf/dexa/dexa2006.html#conf/dexa/KawaiKT06 |