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

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

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Official URL: http://dx.doi.org/10.1016/j.eswa.2014.06.039

Abstract

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.

Item Type:Article
Uncontrolled Keywords:knowledge acquisition, mediated profile, recommender system, scholar profiling
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:52053
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:01 Feb 2016 03:53
Last Modified:30 Nov 2018 07:00

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