User-centric evaluation of recommender systems in social learning platforms: Accuracy is just the tip of the iceberg

S. Fazeli, H.J. Drachsler, M.E. Bitter-Rijpkema, F.M.R. Brouns, G.W. van der Vegt, P.B. Sloep

    Research output: Contribution to journalArticleAcademicpeer-review

    12 Citations (Web of Science)
    249 Downloads (Pure)
    Original languageEnglish
    Pages (from-to)294 - 306
    Number of pages13
    JournalIEEE Transactions on Learning Technologies
    Volume11
    Issue number3
    DOIs
    Publication statusPublished - 2018

    Keywords

    • Recommender systems
    • Measurement
    • Prediction algorithms
    • Metadata
    • Crowdsourcing
    • Social network services
    • Tagging
    • evaluation
    • social
    • learning
    • accuracy
    • performance

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