Extracting search intentions from web search logs

Kinam Park, Taemin Lee, Soon Young Jung, Heui Seok Lim, Sangyep Nam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Web search users complain of inaccurate results of the current search engines. Most of inaccurate results are from failing to understand user's search goal. This paper proposes a method to mine user's intentions and to build an intention map representing their information needs. It selects intention features from search logs obtained from previous search sessions on a given query and extracts user's intentions by using clustering and labeling algorithms. The mined user's intentions on the query are represented in an intention map. For the efficiency analysis of intention maps, we extracted user intentions using 2,600 search log data of a current domestic commercial web search engine. The experimental results using a web search engine with the intention maps show statistically significant improvements in user satisfaction scores.

Original languageEnglish
Title of host publication2010 2nd International Conference on Information Technology Convergence and Services, ITCS 2010
DOIs
Publication statusPublished - 2010 Nov 11
Event2010 2nd International Conference on Information Technology Convergence and Services, ITCS 2010 - Cebu, Philippines
Duration: 2010 Aug 112010 Aug 13

Other

Other2010 2nd International Conference on Information Technology Convergence and Services, ITCS 2010
CountryPhilippines
CityCebu
Period10/8/1110/8/13

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Keywords

  • Intention map
  • Search log
  • Web search engine

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Park, K., Lee, T., Jung, S. Y., Lim, H. S., & Nam, S. (2010). Extracting search intentions from web search logs. In 2010 2nd International Conference on Information Technology Convergence and Services, ITCS 2010 [5581286] https://doi.org/10.1109/ITCS.2010.5581286