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Vol.20 No.4
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A Study on Query Refinement by Online Relevance Feedback in an Information Filtering System

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2003, v.20 no.4, pp.23-48
https://doi.org/10.3743/KOSIM.2003.20.4.023


& (2003). A Study on Query Refinement by Online Relevance Feedback in an Information Filtering System. Journal of the Korean Society for Information Management, 20(4), 23-48, https://doi.org/10.3743/KOSIM.2003.20.4.023
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Abstract

In this study an information filtering system was implemented and a series of relevance feedback experiments were conducted using the system. For the relevance feedback, the original queries were searched against the database and the results were reviewed by the researchers. Based on users' online relevance judgements a pair of 17 refined queries were generated using two methods called "co-occurrence exclusion method" and "lower frequencies exclusion method." In order to generate them, the original queries. the descriptors and category codes appeared in either relevant or irrelevant document sets were applied as elements. Users' relevance judgments on the search results of the refined queries were compared and analyzed against those of the original queries. [ 더 많은 내용 보기 ]

keywords
query refinement, query expansion, information filtering, user feedback, relevance feedback, Boolean retrieval, 질의수정, 질의확장, 정보필터링, 이용자 피드백, 적합성 피드백, 불논리 검색

Journal of the Korean Society for Information Management

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