Title :
Log mining to support web query expansions
Author :
Ngok, Patrick ; Gong, Zhiguo
Author_Institution :
Fac. of Sci. & Technol., Univ. of Macau, Macao, China
Abstract :
In this paper, query expansion will be achieved by mining query information in a query log. An association will be constructed by data mining association technique. Then every incoming new query will be compared with the newly built association rule, and a new expanded query can be constructed with the original query and the newly added item. In addition, other information in the query log will also be processed to achieve query expansion. Then a performance evaluation comparison will be done among the original query, query expanded by association, and query expanded by query information. The experiment shows that the newly expanded query can produce better performance for Web query searching.
Keywords :
Internet; data mining; query processing; Web query expansion; Web query searching; data mining association technique; log mining; performance evaluation; query information mining; Association rules; Automation; Clustering algorithms; Data mining; Helium; Internet; Organizing; Search engines; Search methods; Uniform resource locators;
Conference_Titel :
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location :
Zhuhai, Macau
Print_ISBN :
978-1-4244-3607-1
Electronic_ISBN :
978-1-4244-3608-8
DOI :
10.1109/ICINFA.2009.5204952
