Automatic extraction of user's search intention from web search logs

Kinam Park, Hyesung Jee, Taemin Lee, Soonyoung Jung, Heuiseok Lim

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


Web search users complain of the inaccurate results produced by current search engines. Most of these inaccurate results are due to a failure to understand the user's search goal. This paper proposes a method to extract users' intentions and to build an intention map representing these extracted intentions. The proposed method makes intention vectors from clicked pages from previous search logs obtained on a given query. The components of the intention vector are weights of the keywords in a document. It extracts user's intentions by using clustering the intention vectors and extracting intention keywords from each cluster. The extracted the intentions on a query are represented in an intention map. For the efficiency analysis of intention map, we extracted user's intentions using 2,600 search log data a current domestic commercial search engine. The experimental results with a search engine using the intention maps show statistically significant improvements in user satisfaction scores.

Original languageEnglish
Pages (from-to)145-162
Number of pages18
JournalMultimedia Tools and Applications
Issue number1
Publication statusPublished - 2012 Nov


  • Clustering
  • Intention map
  • Knowledge representation
  • Search engine
  • User's search log

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications


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