The identification of distinguishing term characteristics from relevance feedback

NCUIR > School of Management at National Central University > Graduate Institute of Information Management > journal & Dissertation > Item 987654321/29671

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29671

Title:	The identification of distinguishing term characteristics from relevance feedback
Authors:	Chou,SC;Chang,WP
Contributors:	資訊管理研究所
Keywords:	RETRIEVAL;MODEL
Date:	2009
Issue Date:	2010-06-29 20:37:52 (UTC+8)
Publisher:	中央大學
Abstract:	Purpose - The purpose of this paper is to identify distinguishing term characteristics from among the information of term appearance situations (tas) residing in the relevant/irrelevant documents retrieved for use. Terms with specific characteristics could be used in the distinguishing of user profiles, documents, pages or concepts to assist in information retrieval. Design/methodology/approach - First, a method to apply the potential term characteristics in the distinguishing of user profiles in the information retrieval environment is designed. Then, an information retrieval system is developed to demonstrate the realisation and sustain the study of the method. Formal tests are conducted to examine the distinguishing capability of the potential term characteristics proposed in the method. Findings - The results of the tests show that the potential term characteristics proposed in this study are successfully applied in the distinguishing of user profiles in the information retrieval environment. Originality/value - Identification of distinguishing term characteristics would expand the ground for the IR community in the design of feature-extraction algorithms or systems that try to cull information from structured or unstructured documents.
Relation:	ONLINE INFORMATION REVIEW
Appears in Collections:	[Graduate Institute of Information Management] journal & Dissertation

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