DocumentCode :
3081967
Title :
Clustering in User Information Retrieval on Web
Author :
Sharma, Shantanu ; Mangat, Veenu
Author_Institution :
Inst. of Eng. & Technol., Panjab Univ., Chandigarh, India
fYear :
2013
fDate :
24-26 Aug. 2013
Firstpage :
287
Lastpage :
290
Abstract :
This paper focuses on personalization of "user information needs" by applying clustering techniques of data mining. In the current data centric world, it is very important to analyze data properly and draw the crux from the available for effective creation and maintenance of user profiles. This paper throws explains the use of an indispensable technique called Clustering Technique, which is used to group items exhibiting similar behavior into different item sets.
Keywords :
Internet; data mining; information retrieval; pattern clustering; World Wide Web; clustering techniques; data mining; user information needs; user information retrieval; Clustering algorithms; Conferences; Data mining; Educational institutions; Information retrieval; Neural networks; Particle swarm optimization; Personalization of information; clustering; data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Business Intelligence (ISCBI), 2013 International Symposium on
Conference_Location :
New Delhi
Print_ISBN :
978-0-7695-5066-4
Type :
conf
DOI :
10.1109/ISCBI.2013.64
Filename :
6724369
Link To Document :
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