Web Relevant Term Suggestion Using Log-based and Text-based Approaches

dc.contributor 國立臺灣師範大學圖書資訊學研究所 zh_TW
dc.contributor.author Hsiao-Tieh Pu en_US
dc.contributor.author Hsin-Chen Chiao en_US
dc.date.accessioned 2015-07-03T01:30:07Z
dc.date.available 2015-07-03T01:30:07Z
dc.date.issued 2006-12-01
dc.description.abstract The Study attempts to integrate log-based and text-based methods ot obtain appropriate relevant terms for web search. The merits and limitations of using these two types of resources for term suggestion are also discussed. Further, the study proposes to cluster the relevant terms extracted into certain concept clusters hierarchically, which allows users to browse the terms in a more intuitive and meaningful way. The integrated model will enhance effectiveness of current web information retrieval systems and benefit further research. en_US
dc.identifier ntnulib_tp_A1201_01_008
dc.identifier.issn 1990-9128
dc.identifier.uri http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/73066
dc.language en_US
dc.publisher 中華民國圖書館學會 zh_TW
dc.relation 圖書資訊學研究,1(1),1-21。 zh_TW
dc.relation.uri http://lac3.glis.ntnu.edu.tw/index.php?id=207
dc.subject.other Web information retrieval en_US
dc.subject.other Relevant term suggestion en_US
dc.subject.other Log analysis en_US
dc.title Web Relevant Term Suggestion Using Log-based and Text-based Approaches en_US