The DOI matches its Crossref record; 177 of the 177 references it cites were found in a registry or an index.
User Models for Adaptive Hypermedia and Adaptive Educational Systems
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Citations
Cites
Zadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
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Lecture Notes in Computer Science 1205
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Artificial intelligence: a modern approach
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Artificial intelligence: A modern approach
Nilsson, N. J. (1996) · Artificial Intelligence · doi:10.1016/0004-3702(96)00007-0 · Cited by 10,583
Lecture Notes in Artificial Intelligence
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Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382
The Cognitive Structure of Emotions
Ortony, A., Clore, G. L., & Collins, A. (1988) · doi:10.1017/cbo9780511571299 · Cited by 6,208
Evaluating collaborative filtering recommender systems
Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004) · ACM Transactions on Information Systems · doi:10.1145/963770.963772 · Cited by 5,798
Cited by
Deconstructing disengagement: analyzing learner subpopulations in massive open online courses
Kizilcec, R. F., Piech, C., & Schneider, E. (2013) · Proceedings of the Third International Conference on Learning Analytics and Knowledge · doi:10.1145/2460296.2460330 · Cited by 984
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges
Verbert, K., Manouselis, N., Ochoa, X., Wolpers, M., Drachsler, H., Bosnic, I., & Duval, E. (2012) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2012.11 · Cited by 560
Are We There Yet? - A Systematic Literature Review on Chatbots in Education
Wollny, S., Schneider, J., Di Mitri, D., Weidlich, J., Rittberger, M., & Drachsler, H. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.654924 · Cited by 557
Enhancing the prediction of student performance based on the machine learning XGBoost algorithm
Asselman, A., Khaldi, M., & Aammou, S. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2021.1928235 · Cited by 490
Colchester, K., Hagras, H., Alghazzawi, D., & Aldabbagh, G. (2017) · Journal of Artificial Intelligence and Soft Computing Research · doi:10.1515/jaiscr-2017-0004 · Cited by 328
Metadata
- Authors
- Brusilovsky, P., & Millán, E.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2007-05-14
- Pages
- 3-53
- OpenAlex
- W1511198016
- Cited by
- 988
- References
- 177
- FWCI
- 27.11
- Type
- conference paper
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- The paper
- Brusilovsky, P., & Millán, E. (2007). User Models for Adaptive Hypermedia and Adaptive Educational Systems. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-72079-9_1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
