Abstract
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.
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This work was supported by National Research Foundation of Korea Grant funded by the Korean Government (2010-0014325)
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Park, K., Jee, H., Lee, T. et al. Automatic extraction of user’s search intention from web search logs. Multimed Tools Appl 61, 145–162 (2012). https://doi.org/10.1007/s11042-010-0723-8
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DOI: https://doi.org/10.1007/s11042-010-0723-8