Aspect-based personalized text summarization
Shlomo Berkovsky, Timothy Baldwin, Ingrid Zukerman, W Nejdl (ed.), J Kay (ed.), P Pu (ed.), E Herder (ed.)
ADAPTIVE HYPERMEDIA AND ADAPTIVE WEB-BASED SYSTEMS | SPRINGER-VERLAG BERLIN | Published : 2008
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.
Awarded by Australian Research Council
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.