- P-ISSN1013-0799
- E-ISSN2586-2073
- KCI
Design and Implementation of Tag Coupling-based Boolean Query Matching System for Ranked Search Result
Abstract
Since IR systems which adopt only Boolean IR model can not provide ranked search result, users have to conduct time-consuming checking process for huge result sets one by one. This study proposes a method to provide search results ranked by using coupling information between tags instead of index weight information in Boolean IR model. Because document queries are used instead of general user queries in the proposed method, key tags used as queries in a relevant document are extracted. A variety of groups of Boolean queries based on tag couplings are created in the process of extracting queries. Ranked search result can be extracted through the process of matching conducted with differential information among the query groups and tag significance information. To prove the usability of the proposed method, the experiment was conducted to find research trend analysis information on selected research information. Aslo, the service based on the proposed methods was provided to get user feedback for a year. The result showed high user satisfaction.
- keywords
- boolean model, tag-based matching, query decomposition and extension, tag coupling, tag-based IR, 불리언 검색, 태그 기반 매칭, 질의어 분해 및 확장, 태그 결합도, 태그 기반 검색
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