Context-Aware Recommender Systems for Learning: A Survey and Future Challenges

By Katrien Verbert, Nikos Manouselis, X. Ochoa, M. Wolpers, Hendrik Drachsler, I. Bosnic, Erik Duval. IEEE Transactions on Learning Technologies, 2012

612 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/244a4636c2be55a44556a8bd25ec6417f6c28ee2

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Citations in the corpus

Or's of And's for Interpretable Classification, with Application to Context-Aware Recommender Systems (2015, background): “Such systems are called contextaware recommender systems (see surveys [1, 2, 5, 47] and references therein).”
Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning (2017, methodology): “In context-aware approach, contextual information is used to filter the data set before applying a traditional recommendation algorithm (Adomavicius andTuzhilin 2011;Verbert et al. 2012;Huang et al. 2011b).”
Learning dashboards: an overview and future research opportunities (2013, methodology): “While not used by the dashboards we surveyed, resource use has been used in examples of adaptive hypermedia and recommender systems to estimate knowledge levels of the learner as well [36].”
A Bayesian Framework for Learning Rule Sets for Interpretable Classification (2017, background): “Such systems are called context-aware recommender systems (see surveys Adomavicius and Tuzhilin, 2005, 2008; Verbert et al., 2012; Baldauf et al., 2007, and references therein).”
A Survey on Context Learning (2017, result): “This is how our survey paper differs from those of [18], [19].”
Recommender Systems (2016, neutral): “A survey of context-aware recommender systems, which use technology-enhanced learning technologies, may be found in [612].”
Recommender system application developments: A survey (2015, background): “The contextual information about users in technology enhanced learning environments is also incorporated into the recommendation process [65].”
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks (2018, background): “With the rapid development of recommender systems, various context information has become available [31].”