The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Learning and Revising User Profiles: The Identification of Interesting Web Sites
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Citations
Cites
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
WIDROW, B., & HOFF, M. E. (1960) · doi:10.21236/ad0241531 · Cited by 4,009
Automatic Indexing: An Experimental Inquiry
Maron, M. E. (1961) · Journal of the ACM · doi:10.1145/321075.321084 · Cited by 570 · cited 1×
“The Bayesian classifier has a long history in text categorization tasks (e.g., Maron, 1961; Lewis 1992).”
Background
Cited by
Content-Based Recommendation Systems
Pazzani, M. J., & Billsus, D. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-72079-9_10 · Cited by 2,600
Self-citationDiscrete Bayesian Network Classifiers: A Survey
Bielza, C., & Larrañaga, P. (2014) · ACM Computing Surveys · doi:10.1145/2576868 · Cited by 248
Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit
Yang, K., Ahn, C. R., Vuran, M. C., & Aria, S. S. (2016) · Automation in Construction · doi:10.1016/j.autcon.2016.04.007 · Cited by 202
Application of machine learning for advanced material prediction and design
Chan, C. H., Sun, M., & Huang, B. (2022) · EcoMat · doi:10.1002/eom2.12194 · Cited by 123
Evolution and impact of bias in human and machine learning algorithm interaction
Sun, W., Nasraoui, O., & Shafto, P. (2020) · PLOS ONE · doi:10.1371/journal.pone.0235502 · Cited by 116
Metadata
- Authors
- Pazzani, M., & Billsus, D.
- Venue
- Machine Learning
- Published
- 1997-06
- Volume
- 27
- Issue
- 3
- Pages
- 313-331
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2147654806
- Cited by
- 1,202
- References
- 3
- FWCI
- 53.08
- 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: Learning and Revising User Profiles: The Identification of Interesting Web Sites. https://app.cochat.ai/papers/10.1023/a:1007369909943
- The paper
- Pazzani, M., & Billsus, D. (1997). Learning and Revising User Profiles: The Identification of Interesting Web Sites. Machine Learning. https://doi.org/10.1023/a%3A1007369909943
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.
