JURNAL INTERNASIONAL
Journal of Theoritical and Apllied Information Technology
In www (W3), many researches use recommender systems in e-learning environmental domain. The recommender systems in e-learning is actually used to suggest resources and relevant learning contents to learners regarding thei required goals. Goal, in the e-learning recommender system, ia a identification of requirements and achievements of relevan items (learning content) required by the learner. This paper reviews the landscapes of curret state-of-art recommmender systems in e-lerning environment. This paper is limited to discuss fourtipes of filtering approaches, their benefis, limitations and cold-start problem with respect to recommender systems. The review of domain and previos reseach improvement provide timely and useful insight about recommender systems snd cold-start issu in e-learning recomendation system domain.
| JI03220020 | 004.0285 JATIT J JurnalInternasional | Perpus STMIK (Jurnal Internasional) | Tersedia |
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