Mining website log to improve its findability

Jiann Cherng Shieh*

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Under the network environments with large amounts of digitalized data, websites are the information strongholds that institutions, organizations or enterprises must set up for their specific purposes. No matter how they have been built, websites should offer the capability that users can find their required information quickly and intuitively. Surfing around the library websites, the website logs always keep tracks of users' factual behaviors of finding their required information. Thus we can apply data mining techniques possibly to explore users' information seeking behavior. Based on these evidences, we attempt to reconstruct the websites to promote their internal findability. In this paper, we proposed a heuristic algorithm to clean the website log data, to extract user sub-sessions according to their respective the critical time of session navigation, and to calculate each sub-session's the threshold time of target page with different weights to determine its navigating parent page. We utilized the alternate parent pages of weights to reconstruct various websites. We conduct task-oriented experiments of 4 tasks and 25 participants to measure the effects of their findability respectively. By the analysis of variance on time to complete the tasks, the result has shown that the reconstructed website has better findability performance.

原文英語
主出版物標題Networked Digital Technologies - Second International Conference, NDT 2010, Proceedings
頁面239-247
頁數9
版本PART 2
DOIs
出版狀態已發佈 - 2010
事件2nd International Conference on 'Networked Digital Technologies', NDT 2010 - Prague, 捷克共和国
持續時間: 2010 7月 72010 7月 9

出版系列

名字Communications in Computer and Information Science
號碼PART 2
88 CCIS
ISSN(列印)1865-0929

其他

其他2nd International Conference on 'Networked Digital Technologies', NDT 2010
國家/地區捷克共和国
城市Prague
期間2010/07/072010/07/09

ASJC Scopus subject areas

  • 一般電腦科學
  • 一般數學

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