Cover Image

Expectation maximization clustering algorithm for user modeling in web usage mining system

To provide intelligent personalized online services such as web recommender systems, it is usually necessary to model users’ web access behavior. To achieve this, one of the promising approaches is web usage mining, which mines web logs for user models and recommendations. Web usage mining algorithm...

Full description

Saved in:
Bibliographic Details
Main Authors: Mustapha, Norwati, Jalali, Manijeh, Jalali, Mehrdad
Format: Article
Language:English
English
Published: EuroJournals Publishing 2009
Online Access:http://psasir.upm.edu.my/id/eprint/14638/1/Expectation%20maximization%20clustering%20algorithm%20for%20user%20modeling%20in%20web%20usage%20mining%20system.pdf
http://psasir.upm.edu.my/id/eprint/14638/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.14638
record_format eprints
spelling my.upm.eprints.146382015-10-22T07:22:16Z http://psasir.upm.edu.my/id/eprint/14638/ Expectation maximization clustering algorithm for user modeling in web usage mining system Mustapha, Norwati Jalali, Manijeh Jalali, Mehrdad To provide intelligent personalized online services such as web recommender systems, it is usually necessary to model users’ web access behavior. To achieve this, one of the promising approaches is web usage mining, which mines web logs for user models and recommendations. Web usage mining algorithms have been widely utilized for modeling user web navigation behavior. In this study we advance a model for mining of user’s navigation pattern. The model is based on expectation-maximization (EM) algorithm and it is used for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. The experimental results represent that by decreasing the number of clusters, the log likelihood converges toward lower values and probability of the largest cluster will be decreased while the number of the clusters increases in each treatment. The results also indicate that kind of behavior given by EM clustering algorithm has improved the visit-coherence (accuracy) of navigation pattern mining. EuroJournals Publishing 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/14638/1/Expectation%20maximization%20clustering%20algorithm%20for%20user%20modeling%20in%20web%20usage%20mining%20system.pdf Mustapha, Norwati and Jalali, Manijeh and Jalali, Mehrdad (2009) Expectation maximization clustering algorithm for user modeling in web usage mining system. European Journal of Scientific Research, 32 (4). pp. 467-476. ISSN 1450-216X English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description To provide intelligent personalized online services such as web recommender systems, it is usually necessary to model users’ web access behavior. To achieve this, one of the promising approaches is web usage mining, which mines web logs for user models and recommendations. Web usage mining algorithms have been widely utilized for modeling user web navigation behavior. In this study we advance a model for mining of user’s navigation pattern. The model is based on expectation-maximization (EM) algorithm and it is used for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. The experimental results represent that by decreasing the number of clusters, the log likelihood converges toward lower values and probability of the largest cluster will be decreased while the number of the clusters increases in each treatment. The results also indicate that kind of behavior given by EM clustering algorithm has improved the visit-coherence (accuracy) of navigation pattern mining.
format Article
author Mustapha, Norwati
Jalali, Manijeh
Jalali, Mehrdad
spellingShingle Mustapha, Norwati
Jalali, Manijeh
Jalali, Mehrdad
Expectation maximization clustering algorithm for user modeling in web usage mining system
author_facet Mustapha, Norwati
Jalali, Manijeh
Jalali, Mehrdad
author_sort Mustapha, Norwati
title Expectation maximization clustering algorithm for user modeling in web usage mining system
title_short Expectation maximization clustering algorithm for user modeling in web usage mining system
title_full Expectation maximization clustering algorithm for user modeling in web usage mining system
title_fullStr Expectation maximization clustering algorithm for user modeling in web usage mining system
title_full_unstemmed Expectation maximization clustering algorithm for user modeling in web usage mining system
title_sort expectation maximization clustering algorithm for user modeling in web usage mining system
publisher EuroJournals Publishing
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/14638/1/Expectation%20maximization%20clustering%20algorithm%20for%20user%20modeling%20in%20web%20usage%20mining%20system.pdf
http://psasir.upm.edu.my/id/eprint/14638/
_version_ 1643825693011738624
score 13.211869

Similar Items