AfeL-REc: A recommender system for providing learning resource recommendations in social learning environments

Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex

Publikation: Beitrag in einer FachzeitschriftKonferenzartikelBegutachtung

Abstract

In this paper, we present preliminary results of AFEL-REC, a recommender system for social learning environments. AFEL-REC is build upon a scalable software architecture to provide recommendations of learning resources in near real-time. Furthermore, AFEL-REC can cope with any kind of data that is present in social learning environments such as resource metadata, user interactions or social tags. We provide a preliminary evaluation of three recommendation use cases implemented in AFEL-REC and we find that utilizing social data in form of tags is helpful for not only improving recommendation accuracy but also coverage. This paper should be valuable for both researchers and practitioners interested in providing resource recommendations in social learning environments.

Originalspracheenglisch
Aufsatznummer46
Seitenumfang4
FachzeitschriftCEUR Workshop Proceedings
Jahrgang2482
PublikationsstatusVeröffentlicht - 1 Jan. 2019
Veranstaltung2018 Conference on Information and Knowledge Management Workshops - Torino, Italien
Dauer: 22 Okt. 201822 Okt. 2018

ASJC Scopus subject areas

  • Informatik (insg.)

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