International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1392
6
1
gregorian
2013
9
1
5
3
online
1
fulltext
fa
A New Adaptive Hybrid Recommender Framework for Learning Material Recommendation
فناوری اطلاعات
Information Technology
پژوهشي
Research
<p>Recommender system is a promising technology in online learning environments to present personalized offers for supporting activity of users. According to difficulty of locating appropriate learning materials to learners, this paper proposes an adaptive hybrid recommender framework that considers dynamic interests of learners and multi-attribute of materials in the unified model. Since learners express their preference based on some specific attributes of materials, learner preference matrix (LPM) is introduced that can model the interest of learners based on attributes of materials using historical rating of accessed materials by learners. Then, the approach uses collaborative filtering and content based filtering to generate hybrid recommendation. In addition, a new adaptive strategy is used to model dynamic preference of learners. The experiments show that our proposed method outperforms the previous algorithms on precision, recall and intra-list similarity measure and also can alleviate the sparsity problem.</p>
Personalized Recommendation, Collaborative Filtering, Learning Material, E-learning, Adaptive Recommender, Dynamic Interests
25
33
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-123&slc_lang=fa&sid=1
Mojtaba
Salehi
1003194753284600403
1003194753284600403
Yes
Isa
Nakhai Kamalabadi
1003194753284600404
1003194753284600404
No
Mohammad Bagher
Ghaznavi Ghoushchi
1003194753284600405
1003194753284600405
No