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