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An Efficient Web Recommendation System using Collaborative Filtering and Pattern Discovery Algorithms
by
R. Suguna,
D. Sharmila
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 70 - Number 3 |
| Year of Publication: 2013 |
| Authors: R. Suguna, D. Sharmila |
10.5120/11945-7755
|
R. Suguna, D. Sharmila . An Efficient Web Recommendation System using Collaborative Filtering and Pattern Discovery Algorithms. International Journal of Computer Applications. 70, 3 ( May 2013), 37-44. DOI=10.5120/11945-7755
@article{
10.5120/11945-7755,
author = {
R. Suguna,
D. Sharmila
},
title = { An Efficient Web Recommendation System using Collaborative Filtering and Pattern Discovery Algorithms },
journal = {
International Journal of Computer Applications
},
issue_date = { May 2013 },
volume = { 70 },
number = { 3 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = {
37-44
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume70/number3/11945-7755/
},
doi = { 10.5120/11945-7755 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:31:55.430339+05:30
%A R. Suguna
%A D. Sharmila
%T An Efficient Web Recommendation System using Collaborative Filtering and Pattern Discovery Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 3
%P 37-44
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Information is overloaded in the Internet due to the unstable growth of information and it makes information search as complicate process. Web recommendation systems assist the users to get the exact information and facilitate the information search easier. Web recommendation is one of the techniques of web personalization, which recommends web pages to the user based on the previous browsing history. It is done either content based approach or collaborative filtering approach. In this paper web usage mining is considered as the major source for web recommendation in association with Collaborative filtering approach, association rule mining and Markov model to recommend the web pages to the user.
References
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Index Terms
Computer Science
Information Sciences
Keywords