Kowald Dominik, Lacic Emanuel, Theiler Dieter, Lex Elisabeth
2018
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments.
CIKM 2018 Workshop Proceedings CEUR Turin, Italy
In this paper, we present preliminary results of AFEL-REC, a rec-ommender system for social learning environments. AFEL-RECis build upon a scalable soware architecture to provide recom-mendations of learning resources in near real-time. Furthermore,AFEL-REC can cope with any kind of data that is present in sociallearning environments such as resource metadata, user interactionsor social tags. We provide a preliminary evaluation of three rec-ommendation use cases implemented in AFEL-REC and we ndthat utilizing social data in form of tags is helpful for not only im-proving recommendation accuracy but also coverage. is papershould be valuable for both researchers and practitioners inter-ested in providing resource recommendations in social learningenvironments