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Knowledge-driven wikipedia article recommendation for electronic textbooks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020) 12315 LNCS 363-368
DOI: 10.1007/978-3-030-57717-9_28
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Abstract

In this paper, we introduce an approach that combines automatic domain knowledge modeling, student modeling, and content recommendation approaches to recommend relevant Wikipedia articles for students working with online electronic textbooks.

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Rahdari, B., Brusilovsky, P., Thaker, K., & Barria-Pineda, J. (2020). Knowledge-driven wikipedia article recommendation for electronic textbooks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12315 LNCS, pp. 363–368). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-57717-9_28

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