본문 바로가기
  • Home

A Personalized Retrieval System Based on Classification and User Query

  • Journal of the Korean Society for Library and Information Science
  • 2009, 43(3), pp.163-180
  • DOI : 10.4275/KSLIS.2009.43.3.163
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 17, 2009
  • Accepted : September 16, 2009

Kwang-Young Kim 1 Kang-Seop Shim 1 Kwak, Seung-Jin 2

1한국과학기술정보연구원
2충남대학교

Accredited

ABSTRACT

In this paper, we describe a developmental system for establishing personal information tendency based on user queries. For each query, the system classified it based on the category information using a kNN classifier. As category information, we used DDC field which is already assigned to each record in the database. The system accumulates category information for all user queries and the user's personalized feature for the target database. We then developed a personalized retrieval system reflecting the personalized feature to produce search result. Our system re-ranks the result documents by adding more weights to the documents for which categories match with the user's personalized feature. By using user's tendency information, the ambiguity problem of the word could be solved. In this paper, we conducted experiments for personalized search and word sense disambiguation (WSD) on a collection of Korean journal articles of science and technology arena. Our experimental result and user's evaluation show that the performance of the personalized search system and WSD is proved to be useful for actual field services.

Citation status

* References for papers published after 2023 are currently being built.