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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/3068

Title: Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning
Authors: Drachsler, Hendrik
Bogers, Toine
Vuorikari, Riina
Verbert, Katrien
Duval, Erik
Manouselis, Nikos
Beham, Guenter
Lindstaedt, Stephanie
Stern, Herman
Friedrich, Martin
Wolpers, Martin
Keywords: STELLAR
datatel
datasets
recommender systems
privacy protection
pre-processing
open data
technology enhanced learning
data sharing
Issue Date: 15-Dec-2010
Abstract: This paper raises the issue of missing standardised data sets for recommender systems in Technology Enhanced Learning (TEL) that can be used as benchmarks to compare different recommendation approaches. It discusses how suitable data sets could be created according to some initial suggestions, and investigates a number of steps that may be followed in order to develop reference data sets that will be adopted and reused within a scientific community. In addition, policies are discussed that are needed to enhance sharing of data sets by taking into account legal protection rights. Finally, an initial elaboration of a representation and exchange format for sharable TEL data sets is carried out. The paper concludes with future research needs.
Description: Drachsler, H., Bogers, T., Vuorikari, R., Verbert, K., Duval, E., Manouselis, N., Beham, G., Lindstaedt, S., Stern, H., Friedrich, M., & Wolpers, M. (2010). Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning. In N. Manouselis, H. Drachsler, K. Verbert, & O. Santos (Eds.), Elsevier Procedia Computer Science: Volume 1, Issue 2. Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010) (pp. 2849-2858). doi: 10.1016/j.procs.2010.08.010.
URI: http://hdl.handle.net/1820/3068
ISSN: 1877-0509
Appears in Collections:1. LN: Publications and Preprints

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