User-model based personalized summarization
Information Processing and Management: an International Journal
Using Collaborative Models to Adaptively Predict Visitor Locations in Museums
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Content-based recommendation systems
The adaptive web
Capturing the User's Reading Context for Tailoring Summaries
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Text summarisation in progress: a literature review
Artificial Intelligence Review
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This work investigates user attitudes towards personalized summaries generated from a coarse-grained user model based on document aspects. We explore user preferences for summaries at differing degrees of fit with their stated interests, the impact of length on user ratings, and the faithfulness of personalized and general summaries.