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.
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© 2008 Springer-Verlag Berlin Heidelberg
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Berkovsky, S., Baldwin, T., Zukerman, I. (2008). Aspect-Based Personalized Text Summarization. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2008. Lecture Notes in Computer Science, vol 5149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70987-9_31
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DOI: https://doi.org/10.1007/978-3-540-70987-9_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70984-8
Online ISBN: 978-3-540-70987-9
eBook Packages: Computer ScienceComputer Science (R0)