Information filtering systems constitute a critical component in modern information seeking applications. As the number of
users grows and the information available becomes even bigger it is crucial to employ scalable and efficient representationand filtering techniques. In this paper we propose an innovative XML filtering system that utilizes clustering of user profilesin order to reduce the filtering space and achieves sub-linear filtering time. The proposed system employs a unique sequencerepresentation for user profiles and XML documents based on the depth-first traversal of the XML tree and an appropriate distancemetric in order to compare and cluster the user profiles and filter the incoming XML documents. Experimental results depictthat the proposed system outperforms the previous approaches in XML filtering and achieves sub-linear filtering time.
%0 Journal Article
%1 antonellis08filtering
%A Antonellis, Panagiotis
%A Makris, Christos
%D 2008
%J Database and Expert Systems Applications
%K research.clustering research.xml.processing
%P 537--551
%T XML Filtering Using Dynamic Hierarchical Clustering of User Profiles
%U http://dx.doi.org/10.1007/978-3-540-85654-2_46
%X Information filtering systems constitute a critical component in modern information seeking applications. As the number of
users grows and the information available becomes even bigger it is crucial to employ scalable and efficient representationand filtering techniques. In this paper we propose an innovative XML filtering system that utilizes clustering of user profilesin order to reduce the filtering space and achieves sub-linear filtering time. The proposed system employs a unique sequencerepresentation for user profiles and XML documents based on the depth-first traversal of the XML tree and an appropriate distancemetric in order to compare and cluster the user profiles and filter the incoming XML documents. Experimental results depictthat the proposed system outperforms the previous approaches in XML filtering and achieves sub-linear filtering time.
@article{antonellis08filtering,
abstract = {Information filtering systems constitute a critical component in modern information seeking applications. As the number of
users grows and the information available becomes even bigger it is crucial to employ scalable and efficient representationand filtering techniques. In this paper we propose an innovative XML filtering system that utilizes clustering of user profilesin order to reduce the filtering space and achieves sub-linear filtering time. The proposed system employs a unique sequencerepresentation for user profiles and XML documents based on the depth-first traversal of the XML tree and an appropriate distancemetric in order to compare and cluster the user profiles and filter the incoming XML documents. Experimental results depictthat the proposed system outperforms the previous approaches in XML filtering and achieves sub-linear filtering time.},
added-at = {2009-06-30T19:04:03.000+0200},
author = {Antonellis, Panagiotis and Makris, Christos},
biburl = {https://www.bibsonomy.org/bibtex/22f80e2ac596312a93cf3daacf06e650f/msn},
description = {SpringerLink - Book Chapter},
interhash = {69547df2e1726bdd13b644d286bdafc5},
intrahash = {2f80e2ac596312a93cf3daacf06e650f},
journal = {Database and Expert Systems Applications},
keywords = {research.clustering research.xml.processing},
pages = {537--551},
timestamp = {2009-06-30T19:04:03.000+0200},
title = {XML Filtering Using Dynamic Hierarchical Clustering of User Profiles},
url = {http://dx.doi.org/10.1007/978-3-540-85654-2_46},
year = 2008
}