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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 | Personalized detection of fresh content and temporal annotation for improved page revisiting |
| 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.832-841 |
| 著者・共著者 | Adam Jatowt,Yukiko Kawai,Katsumi Tanaka |
| 概要 | Page revisiting is a popular browsing activity in the Web. In this paper we describe a method for improving page revisiting by detecting and highlighting the information on browsed Web pages that is fresh for a user. Content freshness is determined based on comparison with the previously viewed versions of pages. Any new content for the user is marked, enabling the user to quickly spot it. We also describe a mechanism for visually informing users about the degree of freshness of linked pages. By indicating the freshness level of content on linked pages, the system enables users to navigate the Web more effectively. Finally, we propose and demonstrate the concept of determining user-dependent, subjective age of page contents. Using this method, elements of Web pages are annotated with dates indicating the first time the elements were accessed by the user. |
| DOI | 10.1007/11827405_81 |
| ISSN | 0302-9743 |
| DBLP ID | conf/dexa/JatowtKT06 |
| PermalinkURL | http://dblp.uni-trier.de/db/conf/dexa/dexa2006.html#conf/dexa/JatowtKT06 |