Conference Proceedings
Aspect-based personalized text summarization
S Berkovsky, T Baldwin, I Zukerman
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics | SPRINGER-VERLAG BERLIN | Published : 2008
Abstract
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. © 2008 Springer-Verlag Berlin Heidelberg.
Grants
Awarded by Australian Research Council
Funding Acknowledgements
This research was supported in part by Discovery grant DP0770931 from the Australian Research Council. We would like to thank Willy for help in setting up the web experiment.