The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Machine Learning for User Modeling
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Citations
Cites
Valiant, L. G. (1984) · Communications of the ACM · doi:10.1145/1968.1972 · Cited by 3,279
Cited by
Brusilovsky, P. (2001) · User Modeling and User-Adapted Interaction · doi:10.1023/a:1011143116306 · Cited by 2,057
SCHATZMANN, J., WEILHAMMER, K., STUTTLE, M., & YOUNG, S. (2006) · The Knowledge Engineering Review · doi:10.1017/s0269888906000944 · Cited by 336
Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning
Al-Hmouz, A., Shen, J., Al-Hmouz, R., & Yan, J. (2012) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2011.36 · Cited by 286
Layered evaluation of interactive adaptive systems: framework and formative methods
Paramythis, A., Weibelzahl, S., & Masthoff, J. (2010) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-010-9082-4 · Cited by 145
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices
Tsukada, M., Kondo, M., & Matsutani, H. (2020) · IEEE Transactions on Computers · doi:10.1109/tc.2020.2973631 · Cited by 81
Metadata
- Authors
- Webb, G. I., Pazzani, M. J., & Billsus, D.
- Venue
- User Modeling and User-Adapted Interaction
- Published
- 2001-03
- Volume
- 11
- Issue
- 1-2
- Pages
- 19-29
- ISSN
- 0924-1868 (ISSN-L)
- 1573-1391
- OpenAlex
- W2124756613
- Cited by
- 393
- References
- 1
- FWCI
- 48.54
- Type
- journal article
- Language
- en
- Open access
- bronze
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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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- CoChat. (2026). Citation check: Machine Learning for User Modeling. https://app.cochat.ai/papers/10.1023/a:1011117102175
- The paper
- Webb, G. I., Pazzani, M. J., & Billsus, D. (2001). Machine Learning for User Modeling. User Modeling and User-Adapted Interaction. https://doi.org/10.1023/a%3A1011117102175
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.
