DocumentCode :
2939361
Title :
Extracting Query Expansion Terms Based on User´s Search Behavior
Author :
Chen, Shaoming ; Du, Yajun ; Peng, Qiangqiang
Author_Institution :
Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu, China
Volume :
1
fYear :
2009
fDate :
12-14 Dec. 2009
Firstpage :
268
Lastpage :
271
Abstract :
Search engine(SE) can obtains rich information from the Internet as a powerful tool, but most of them are not relevant to the searcher´s intended requirements. The main factor is query terms can not depict the user´s personality with the ambiguity of the language. To solve this problem, a method of extracting query expansion terms based on user´s behavior is proposed in this paper. The method analyzes their potential relevance of the user´s search history and click history. The search return sequence and the user clicks sequence are considered as well. So we can extract terms which can depict the user´s requirements. An experiment illustrates that our method can effectively extract the relevant terms and improves the quality.
Keywords :
Internet; query processing; search engines; Internet; query expansion term extraction; search engine; user click history; user search behavior; user search history; Computational intelligence; Data mining; Feedback; History; Internet; Mathematics; Ontologies; Power engineering computing; Search engines; Web pages; Co-occurrence; Query Expansion Terms; User Log; User´s Search Behavior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
Type :
conf
DOI :
10.1109/ISCID.2009.74
Filename :
5370906
Link To Document :
بازگشت