Title :
Extracting Search Intentions from Web Search Logs
Author :
Park, Kinam ; Lee, Taemin ; Jung, Soonyoung ; Lim, Heuiseok ; Nam, Sangyep
Author_Institution :
Dept. Comput. Sci. Educ., Korea Univ., Seoul, South Korea
Abstract :
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.
Keywords :
Internet; information needs; information retrieval; pattern clustering; search engines; Web search engine; Web search logs; clustering algorithm; information needs; intention map; labeling algorithms; search intention extraction; user intention mining; Classification algorithms; Clustering algorithms; Data mining; Engines; Feature extraction; Partitioning algorithms; Web search;
Conference_Titel :
Information Technology Convergence and Services (ITCS), 2010 2nd International Conference on
Conference_Location :
Cebu
Print_ISBN :
978-1-4244-7584-1
Electronic_ISBN :
978-1-4244-7584-1
DOI :
10.1109/ITCS.2010.5581286