Collaborative Recommendation of Online Video Lectures in e-Learning System (이러닝 시스템에서 온라인 비디오 강좌의 협업적 추천 방법)

하인애; 송규식; 김흥남; 조근식

Collaborative Recommendation of Online Video Lectures in e-Learning System

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2009, 14(9), pp.85-94
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

하인애 ¹, 송규식 ¹, 김흥남 ², 조근식 ¹

¹인하대학교
²University of Ottawa

Accredited

ABSTRACT

It is becoming increasingly difficult for learners to find the lectures they are looking for. In turn, the ability to find the particular lecture sought by the learner in an accurate and prompt manner has become an important issue in e-Learning. To deal this issue, in this paper, we present a collaborative approach to provide personalized recommendations of online video lectures. The proposed approach first identifies candidated video lectures that will be of interest to a certain user. Partitioned collaborative filtering is employed as an approach in order to generate neighbor learners and predict learners' preferences for the lectures. Thereafter, Attribute-based filtering is employed to recommend a final list of video lectures that the target user will like the most.

KEYWORDS

사용자 기반 협업적 여과(User based Collaborative Filtering), 속성 기반 여과(Attribute based Filtering), 추천 시스템(Recommendation System), 이러닝(e-Learning), 비디오 강좌(Video Lecture)

Citation status

* References for papers published after 2023 are currently being built.

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Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65