DocumentCode :
3579304
Title :
A survey on web user personalization techniques
Author :
Dhanalakshmi, D. ; Lakshmi, J.Komala
Author_Institution :
Department of Computer Science, S.N.R SONS College (Autonomous) Coimbatore, Tamil Nadu, India
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
Information on the World Wide Web (WWW) is growing every second by second. This vast growth causes huge amount of information on the web. Out of which, seekers seek their required information. Researchers are continuously focusing toward the satisfaction of user´s requirement in Information retrieval. This is an emerging and interesting area where the data mining techniques is being applied. Web mining is the application of data mining, which includes web content mining, web usage mining and web structure mining. Personalization is one of the applications of web usage mining and which is helpful to provide the user required information in an efficient manner. In this paper, we will discuss on various techniques used in web user personalization and conclude the paper with our findings on current web scenario and what is expected on future work.
Keywords :
Data Mining; WWW and Machine Learning; Web mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-3974-9
Type :
conf
DOI :
10.1109/ICCIC.2014.7238508
Filename :
7238508
Link To Document :
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