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Peter Brusilovsky
Researcher at University of Pittsburgh
Publications - 525
Citations - 26249
Peter Brusilovsky is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Recommender system & Adaptive hypermedia. The author has an hindex of 69, co-authored 496 publications receiving 25021 citations. Previous affiliations of Peter Brusilovsky include Carnegie Mellon University & IEEE Computer Society.
Papers
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Adapting Engagement e-mails to Users' Characteristics
Claudia López,Peter Brusilovsky +1 more
TL;DR: The hypothesis is that the effectiveness of messages may depend on other users’ vari- ables and not in the content message only, and an important strand of this research area is based on sending messages to the current users and manipulate the content of the message in order to evaluate their effectiveness.
Posted Content
Concept Annotation for Intelligent Textbooks
TL;DR: A textbook knowledge engineering method to obtain reliable concept annotations and a validated knowledge engineering procedure, a code-book for technical concept annotation, and a set of concept annotations for the target textbook which could be used as gold standard in further research.
Journal ArticleDOI
Distributed Framework for Adaptive Explanatory Visualization
TL;DR: The architecture of a distributed event-based visualization system is presented and specialized content provision and visualization services are described and two communication protocols are presented in an attempt to explore the possibility of a standardized language.
Journal Article
Authoring and delivery of adaptive electronic textbooks made easy
TL;DR: This paper shows how to translate a Word-based textbook into an adaptive website that provides adaptive navigation support (through link annotation) as well as adaptive presentation (through conditionally included explanations) through the powerful and highly customizable AHA! adaptive delivery platform.
Personalized E-Learning for Distance Courses in Community Colleges
TL;DR: This paper explored whether the students enrolled in distance learning courses at the Community College of Allegheny County are able to use, understand, and appreciate several personalized E-Learning systems, which were not specifically customized for this category of students.