Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning

Hendrik Drachsler; Toine Bogers; Riina Vuorikari; Katrien Verbert; Erik Duval; Nikos Manouselis; Guenter Beham; Stephanie Lindstaedt; Hermann Stern; Martin Friedrich; Martin Wolpers

doi:10.1016/j.procs.2010.08.010

Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning

Hendrik Drachsler^*, Toine Bogers, Riina Vuorikari, Katrien Verbert, Erik Duval, Nikos Manouselis, Guenter Beham, Stephanie Lindstaedt, Hermann Stern, Martin Friedrich, Martin Wolpers

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

60 Citations (Scopus)

Abstract

This paper raises the issue of missing data sets for recommender systems in Technology Enhanced Learning 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.

Original language	English
Journal	Procedia Computer Science
Volume	1
Issue number	2
Pages (from-to)	2849-2858
Number of pages	10
ISSN	1877-0509
DOIs	https://doi.org/10.1016/j.procs.2010.08.010
Publication status	Published - 1 Jan 2010
Externally published	Yes

Keywords

Data sets
Data sharing
Legal protection rights
Recommender systems
Sharing format
Technology-enhanced learning

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10.1016/j.procs.2010.08.010

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Cite this

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title = "Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning",

abstract = "This paper raises the issue of missing data sets for recommender systems in Technology Enhanced Learning 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.",

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AU - Drachsler, Hendrik

AU - Bogers, Toine

AU - Vuorikari, Riina

AU - Verbert, Katrien

AU - Duval, Erik

AU - Manouselis, Nikos

AU - Beham, Guenter

AU - Lindstaedt, Stephanie

AU - Stern, Hermann

AU - Friedrich, Martin

AU - Wolpers, Martin

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N2 - This paper raises the issue of missing data sets for recommender systems in Technology Enhanced Learning 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.

AB - This paper raises the issue of missing data sets for recommender systems in Technology Enhanced Learning 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.

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KW - Data sharing

KW - Legal protection rights

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KW - Sharing format

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Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning

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