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.
Original language | English |
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Pages (from-to) | 145-162 |
Number of pages | 18 |
Journal | Multimedia Tools and Applications |
Volume | 61 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2012 Nov |
Keywords
- 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