@inproceedings{76a69e0ae0cd4e5f9980437c6bd5e2c5,
title = "Extracting search intentions from web search logs",
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.",
keywords = "Intention map, Search log, Web search engine",
author = "Kinam Park and Taemin Lee and Soonyoung Jung and Heuiseok Lim and Sangyep Nam",
year = "2010",
doi = "10.1109/ITCS.2010.5581286",
language = "English",
isbn = "9781424475858",
series = "2010 2nd International Conference on Information Technology Convergence and Services, ITCS 2010",
booktitle = "2010 2nd International Conference on Information Technology Convergence and Services, ITCS 2010",
note = "2010 2nd International Conference on Information Technology Convergence and Services, ITCS 2010 ; Conference date: 11-08-2010 Through 13-08-2010",
}