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Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems

In scholars' recommender systems, acquisition knowledge for construction profiles is crucial because profiles provide fundamental information for accurate recommendation. Despite the availability of various knowledge resources, identification and collecting extensive knowledge in an unobtrusive...

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Main Authors: Amini, Bahram, Ibrahim, Roliana, Othman, Mohd. Shahizan, Selamat, Ali
Format: Article
Published: Elsevier Ltd. 2014
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/52053/
http://dx.doi.org/10.1016/j.eswa.2014.06.039
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spelling my.utm.520532018-11-30T07:00:32Z http://eprints.utm.my/id/eprint/52053/ Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems Amini, Bahram Ibrahim, Roliana Othman, Mohd. Shahizan Selamat, Ali QA75 Electronic computers. Computer science In scholars' recommender systems, acquisition knowledge for construction profiles is crucial because profiles provide fundamental information for accurate recommendation. Despite the availability of various knowledge resources, identification and collecting extensive knowledge in an unobtrusive manner is not straightforward. In order to capture scholars' knowledge, some questions must be answered: what knowledge resource is appropriate for profiling, how knowledge items can be unobtrusively captured, and how heterogeneity among different knowledge resources should be resolved. To address these issues, we first model the scholars' academic behavior and extract different knowledge items, diffused over the Web including mediated profiles in digital libraries, and then integrate those heterogeneous knowledge items by Wikipedia. Additionally, we analyze the correlation between knowledge items and partition the scholars' research areas for multi-disciplinary profiling. Compared to the state-of-the-art, the result of empirical evaluation shows the efficiency of our approach in terms of completeness and accuracy. Elsevier Ltd. 2014 Article PeerReviewed Amini, Bahram and Ibrahim, Roliana and Othman, Mohd. Shahizan and Selamat, Ali (2014) Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems. Expert Systems with Applications, 41 (17). pp. 7945-7957. ISSN 0957-4174 http://dx.doi.org/10.1016/j.eswa.2014.06.039 DOI: 10.1016/j.eswa.2014.06.039
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Amini, Bahram
Ibrahim, Roliana
Othman, Mohd. Shahizan
Selamat, Ali
Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems
description In scholars' recommender systems, acquisition knowledge for construction profiles is crucial because profiles provide fundamental information for accurate recommendation. Despite the availability of various knowledge resources, identification and collecting extensive knowledge in an unobtrusive manner is not straightforward. In order to capture scholars' knowledge, some questions must be answered: what knowledge resource is appropriate for profiling, how knowledge items can be unobtrusively captured, and how heterogeneity among different knowledge resources should be resolved. To address these issues, we first model the scholars' academic behavior and extract different knowledge items, diffused over the Web including mediated profiles in digital libraries, and then integrate those heterogeneous knowledge items by Wikipedia. Additionally, we analyze the correlation between knowledge items and partition the scholars' research areas for multi-disciplinary profiling. Compared to the state-of-the-art, the result of empirical evaluation shows the efficiency of our approach in terms of completeness and accuracy.
format Article
author Amini, Bahram
Ibrahim, Roliana
Othman, Mohd. Shahizan
Selamat, Ali
author_facet Amini, Bahram
Ibrahim, Roliana
Othman, Mohd. Shahizan
Selamat, Ali
author_sort Amini, Bahram
title Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems
title_short Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems
title_full Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems
title_fullStr Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems
title_full_unstemmed Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems
title_sort capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems
publisher Elsevier Ltd.
publishDate 2014
url http://eprints.utm.my/id/eprint/52053/
http://dx.doi.org/10.1016/j.eswa.2014.06.039
_version_ 1643653139114491904
score 13.211869

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