@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 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.",
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)",
}