DocumentCode :
260713
Title :
User search goals using classified average precision inference
Author :
Chellatamilan, T. ; Bhuvaneswari, S.
Author_Institution :
Dept. of CSE, Arunai Eng. Coll., Tiruvannamalai, India
fYear :
2014
fDate :
27-28 Feb. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Information Surfing is one of the vital phenomenon in today´s world. Users prefer to surf internet by their queries to clarify their known uncertain information. Search engines do not often bring the user required information and does not fulfill the request completely. Hence it is necessary to infer and mine user specific interest about a topic. Using Internet the user collects the required information through the search engine. To provide the best result by the internet, the user search goal has to be analyzed. The feedback sessions are clustered to find out special user search goals for a query and the Pseudo-documents for it. The user search goals are understand using Classified Average precision (CAP) algorithm.
Keywords :
inference mechanisms; pattern classification; search engines; CAP algorithm; Internet; classified average precision algorithm; classified average precision inference; feedback sessions; information surfing; pseudo-documents; search engine; user search goals; Educational institutions; Internet; Search engines; Uniform resource locators; Vectors; Web search; classified average precision; feedback sessions; pseudodocuments; user search goals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3835-3
Type :
conf
DOI :
10.1109/ICICES.2014.7033780
Filename :
7033780
Link To Document :
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