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A Study on Personalized Search System Based on Subject Classification

주제분류 기반의 개인화 검색시스템에 관한 연구

  • 김광영 (한국과학기술정보연구원 정보기술연구실) ;
  • 곽승진 (충남대학교 사회과학대학 문헌정보학과)
  • Received : 2011.10.01
  • Accepted : 2011.11.17
  • Published : 2011.11.30

Abstract

The purpose of this study is to design, implement and evaluate a personalized search system using gathered information on users to provide more accurate search results. For this purpose, a hybrid-based user profile is constructed by using subject classification. In order to evaluate the performance of the proposed system, experts directly measured and evaluated MRR, MAP and usability by using the Korean journal articles of science and technology DB. Its performance was better than the general search system in the area of "Computer Science" and "Library and Information Science". Especially better results were shown when tested on ambiguous keywords. Evaluation through in-depth interviews proved that the proposed personalized search system was more efficient in looking up and obtaining information. In addition, the proposed personalized search system provided a variety of recommendation systems which proved helpful in navigating for new information. High user satisfaction ratings on the proposed personalized search system were another proof of its usefulness. In this study, we were able to prove through expert evaluation that the proposed personalized search system was more efficient in information retrieval.

Keywords

Subject Classification;Personalized Search System;User Profile;Personalization

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