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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Capturing the User’s Reading Context for Tailoring Summaries
verfasst von : Cécile Paris, Stephen Wan
Erschienen in: User Modeling, Adaptation, and Personalization
Verlag: Springer Berlin Heidelberg
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The web has become a major source of information to learn about a topic. With the continuous growth of information and its high connectivity, it is hard to follow only the links that are relevant and not to get lost in hyperspace. Our aim is to support people who read documents in a highly connected information space, helping them remain on focus. Our contextually-aware in-browser text summarisation tool, IBES, does this by capturing users’ current interests and providing users with contextualised summaries of linked documents, to help them decide whether the link is worth following.