DocumentCode
493642
Title
Query Reformulation Based on Improved Pseudo Feedback
Author
Gong, Yu-Xi ; Luo, Rong ; Zhang, Min-Xia
Author_Institution
Sch. of Comput. Eng., Qingdao Technol. Univ., Qingdao
Volume
2
fYear
2009
fDate
7-8 March 2009
Firstpage
269
Lastpage
271
Abstract
Now the difficulty of information query on the Web is there is not matching between short, misty user query and the document of existing a great deal of redundancy and noise. Anew query method was brought forward based on first item clicked feedback under the analyzed excellent and disadvantage of relevance feedback and pseudo feedback.Present a measure of first item-clicked feedback. The experiment adopted testing data of TREC Web Track show it can increase query efficiency in the information query, conquer the disadvantage of relevance feedback and pseudo feedback.
Keywords
Internet; query formulation; relevance feedback; TREC Web Track; first item clicked feedback; information query; pseudo feedback; query reformulation; relevance feedback; user query; Automatic testing; Computer science; Computer science education; Educational technology; Extraterrestrial measurements; Feedback; Noise measurement; Probability; Thesauri; Web pages; first item-clicked feedback; pseudo feedback; query Reformulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-3581-4
Type
conf
DOI
10.1109/ETCS.2009.320
Filename
4959034
Link To Document