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

• 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
• Institution: Universiti Teknologi Malaysia

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...