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 :
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