Issues and Considerations regarding Sharable Data Sets for Recommender Systems in Technology Enhanced Learning

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Issues and Considerations regarding Sharable Data Sets for Recommender Systems in Technology Enhanced Learning. / Drachsler, Hendrik; Bogers, Toine; Vuorikari, Riina; Verbert, Katrien; Duval, Erik; Manouselis, Nikos; Beham, Guenther; Lindstaedt, Stephanie; Stern, Hermann; Friedrich, Martin; Wolpers, Martin.

Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010). 2010. p. 2849-2858 (Procedia Computer Science; No. 2, Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

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 Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010). Procedia Computer Science, no. 2, vol. 1, pp. 2849-2858. https://doi.org/10.1016/j.procs.2010.08.010

APA

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 Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010) (pp. 2849-2858). Procedia Computer Science Vol. 1 No. 2 https://doi.org/10.1016/j.procs.2010.08.010

Vancouver

Drachsler H, Bogers T, Vuorikari R, Verbert K, Duval E, Manouselis N et al. Issues and Considerations regarding Sharable Data Sets for Recommender Systems in Technology Enhanced Learning. In Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010). 2010. p. 2849-2858. (Procedia Computer Science; No. 2, Vol. 1). https://doi.org/10.1016/j.procs.2010.08.010

Author

Drachsler, Hendrik ; Bogers, Toine ; Vuorikari, Riina ; Verbert, Katrien ; Duval, Erik ; Manouselis, Nikos ; Beham, Guenther ; Lindstaedt, Stephanie ; Stern, Hermann ; Friedrich, Martin ; Wolpers, Martin. / Issues and Considerations regarding Sharable Data Sets for Recommender Systems in Technology Enhanced Learning. Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010). 2010. pp. 2849-2858 (Procedia Computer Science; No. 2, Vol. 1).

Bibtex

@inproceedings{eb4cf0b6a36d4e2290033fce51a21cc8,
title = "Issues and Considerations regarding Sharable Data Sets for Recommender Systems in Technology Enhanced Learning",
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.",
keywords = "data sharing, recommender systems, data sets, format, technology-enhanced learning, legal protection rights",
author = "Hendrik Drachsler and Toine Bogers and Riina Vuorikari and Katrien Verbert and Erik Duval and Nikos Manouselis and Guenther Beham and Stephanie Lindstaedt and Hermann Stern and Martin Friedrich and Martin Wolpers",
year = "2010",
doi = "10.1016/j.procs.2010.08.010",
language = "English",
series = "Procedia Computer Science",
publisher = "Elsevier",
number = "2",
pages = "2849--2858",
booktitle = "Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010)",

}

RIS

TY - GEN

T1 - Issues and Considerations regarding Sharable Data Sets for Recommender Systems in Technology Enhanced Learning

AU - Drachsler, Hendrik

AU - Bogers, Toine

AU - Vuorikari, Riina

AU - Verbert, Katrien

AU - Duval, Erik

AU - Manouselis, Nikos

AU - Beham, Guenther

AU - Lindstaedt, Stephanie

AU - Stern, Hermann

AU - Friedrich, Martin

AU - Wolpers, Martin

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - data sharing

KW - recommender systems

KW - data sets

KW - format

KW - technology-enhanced learning

KW - legal protection rights

U2 - 10.1016/j.procs.2010.08.010

DO - 10.1016/j.procs.2010.08.010

M3 - Article in proceedings

T3 - Procedia Computer Science

SP - 2849

EP - 2858

BT - Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010)

ER -

ID: 47065088