Extracting Search Intentions from Web Search Logs

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.