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A Novel Approach for Web Personalization
by
Monika Dhandi,
Rajesh Kumar Chakrawarti
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 151 - Number 8 |
| Year of Publication: 2016 |
| Authors: Monika Dhandi, Rajesh Kumar Chakrawarti |
10.5120/ijca2016911849
|
Monika Dhandi, Rajesh Kumar Chakrawarti . A Novel Approach for Web Personalization. International Journal of Computer Applications. 151, 8 ( Oct 2016), 11-17. DOI=10.5120/ijca2016911849
@article{
10.5120/ijca2016911849,
author = {
Monika Dhandi,
Rajesh Kumar Chakrawarti
},
title = { A Novel Approach for Web Personalization },
journal = {
International Journal of Computer Applications
},
issue_date = { Oct 2016 },
volume = { 151 },
number = { 8 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = {
11-17
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume151/number8/26252-2016911849/
},
doi = { 10.5120/ijca2016911849 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:56:33.526293+05:30
%A Monika Dhandi
%A Rajesh Kumar Chakrawarti
%T A Novel Approach for Web Personalization
%J International Journal of Computer Applications
%@ 0975-8887
%V 151
%N 8
%P 11-17
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In the present word web is huge storage of information and it will keep increasing with growing of internet technologies. But the human being capability to read, access and understand content does not increase with that tread. Hence it becomes complex to website owners to present proper information to the users. This led to provide personalized web services to users. One of the well-known approaches in providing web personalization is Web Usage Mining. In this paper, our motive of web usage mining is to discover users’ access patterns of web pages automatically and quickly from the huge sever access log records, such as frequently visited hyperlinks, frequently accessed web pages and users grouping. Also, we proposed a new method for discovering users’ access patterns and recommend it to the user.
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Index Terms
Computer Science
Information Sciences
Keywords