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2012 23rd International Workshop on Database and Expert Systems Applications

IEEE Xplore (IEEE/IET Electronic Library - IEL) Available online

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Format:
Book
Author/Creator:
International Workshop on Database and Expert Systems Applications, author.
Contributor:
IEEE Staff, Contributor.
Language:
English
Subjects (All):
Database management--Congresses.
Database management.
Physical Description:
1 online resource : illustrations
Place of Publication:
[Place of publication not identified] IEEE 2012
Language Note:
English
Summary:
Automatic text summarization aims to address the information overload problem by extracting the most important information from a document, which can help a reader to decide whether it is relevant or not. In this paper we propose a method of personalized text summarization which improves the conventional automatic text summarization methods by taking into account the differences in readers' characteristics. We use annotations added by readers as one of the sources of personalization. We have experimentally evaluated the proposed method in the domain of learning, obtaining better summaries capable of extracting important concepts explained in the document when considering the relevant domain terms in the process of summarization.
Notes:
Bibliographic Level Mode of Issuance: Monograph
ISBN:
9780769548012
0769548016

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