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Adaptive Hypermedia
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“Early ALS implementations often required extensive manual rule design or pre-course diagnostic assessments to initialize learner models [13].”
From AI for All: Adaptive, Accessible, and Inclusive Learning Experiences in the Age of Intelligent LMSs (2026) · cites this paper as [13]
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Journal of Universal Computer Science
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Self-citationMachine Learning for User Modeling
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Metadata
- Authors
- Brusilovsky, P.
- Affiliations
- University of Pittsburgh (US)
- Corresponding author
- Brusilovsky, Peter
- ORCID
- Brusilovsky, Peter
- Venue
- User Modeling and User-Adapted Interaction
- Published
- 2001-03
- Volume
- 11
- Issue
- 1-2
- Pages
- 87-110
- ISSN
- 0924-1868 (ISSN-L)
- 1573-1391
- OpenAlex
- W2913293464
- Cited by
- 2,057
- References
- 69
- Citations by year
- 2026: 64 · 2025: 30 · 2024: 19 · 2023: 27 · 2022: 21 · 2021: 25 · 2020: 33 · 2019: 33 · 2018: 37 · 2017: 49 · 2016: 67 · 2015: 59 · 2014: 72 · 2013: 93 · 2012: 116
- FWCI
- 124.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- User Modeling and User-Adapted Interaction (publishedVersion)
- Cumulative Index of Computer Aided Architectural Design (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Information Systems › Web Applications and Data Management
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Keywords
- adaptive hypermedia, user modeling, personalization, user preferences, user goals, knowledge modeling, hypermedia systems
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