ITEM METADATA RECORD
Title: Document clustering with user feedback
Authors: Pham, Phi
Deschacht, Koen
Moens, Marie-Francine #
Issue Date: 2008
Publisher: Maastricht University
Host Document: Proceedings of the 8th Dutch-Belgian information retrieval workshop (DIR 2008) pages:73-80
Conference: 8th Dutch-Belgian information retrieval workshop (DIR 2008) location:Maastricht, The Netherlands date:14-15 April 2008
Abstract: In this paper, we focus on the problem of incorporating user input
into an automated document clustering process to improve
clustering performance. Before the start of the clustering process,

the user can provide a small set of labeled documents that form
the initial descriptions of the clusters. If the user provides no
initial information, the clustering process has to form the initial
descriptions of the clusters by itself. At the end of the clustering process, the user can navigate the clusters, assess the clustering
quality and if necessary, provide feedback to the clustering
process. With this user feedback, the clustering process will retrain itself to obtain new clusters that best describe the nature of
the data and the desire of the user. The results show that our methods
for initializing the clustering process are valuable and that user
feedback improves the quality of the clusters.
ISBN: 978-90-5681-282-9
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
# (joint) last author

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