Automatic extraction of user%26apos;s search intention from web search logs

作者：Park Kinam; Jee Hyesung; Lee Taemin; Jung Soonyoung; Lim Heuiseok^*

来源：Multimedia Tools and Applications, 2012, 61(1): 145-162.

DOI：10.1007/s11042-010-0723-8

• Search engine
• Intention map
• User%26apos
• s search log
• Clustering
• Knowledge representation

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%26apos;s search goal. This paper proposes a method to extract users%26apos; 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 It extracts user%26apos;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%26apos;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.

• 出版日期2012-11