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|Booktitle=Proceedings of The 2nd International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2011) | |Booktitle=Proceedings of The 2nd International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2011) | ||
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{{Publikation Details | {{Publikation Details |
Aktuelle Version vom 6. Mai 2011, 20:01 Uhr
Behavior-Based Information Seeking in Digital Libraries
Behavior-Based Information Seeking in Digital Libraries
Published: 2011
März
Buchtitel: Proceedings of The 2nd International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2011)
Verlag: Springer
Erscheinungsort: Orlando, Florida
Nicht-referierte Veröffentlichung
BibTeX
Kurzfassung
Digital libraries are providing an increasing amount of data, which is
normally structured in a classical way by documents and described by
metadata as keywords. The data, even in scientific systems such as
digital libraries and virtual research environments, will contain a
great amount of noise or information unnecessary for our personal
interests.
Although there has been a lot of progress in the field of information
retrieval, search techniques and other content finding methods, there
is still much to be done in the field of information retrieval based on
user behavior. This paper presents an approach deployed in the
Humboldt Digital Library (HDL) to facilitate the retrieval of relevant
information to the users of the system, making recommendations of
paragraphs based on their profile and the behavior of other users who
share similar profiles.
The Humboldt digital library represents an innovative system of open
access to the legacy of Alexander von Humboldt in a digital form on
the Internet (www.avhumboldt.net). It contributes to the key
question, how to present interconnected data in a proper form using
information technologies.