Automatic extraction of user's search intention from web search logs
- Authors
- Park, Kinam; Jee, Hyesung; Lee, Taemin; Jung, Soonyoung; Lim, Heuiseok
- Issue Date
- 11월-2012
- Publisher
- SPRINGER
- Keywords
- Search engine; Intention map; User' s search log; Clustering; Knowledge representation
- Citation
- MULTIMEDIA TOOLS AND APPLICATIONS, v.61, no.1, pp.145 - 162
- Indexed
- SCIE
SCOPUS
- Journal Title
- MULTIMEDIA TOOLS AND APPLICATIONS
- Volume
- 61
- Number
- 1
- Start Page
- 145
- End Page
- 162
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/107094
- DOI
- 10.1007/s11042-010-0723-8
- ISSN
- 1380-7501
- 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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Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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