Bookmarks (or favorites, hotlists) are popular strategies to relocate interesting websites on the WWW by creating a personalized URL repository. Most current browsers offer a facility to locally store and manage bookmarks in a hierarchy of folders; though, with growing size, users reportedly have trouble to create and maintain a stable organization structure. This paper presents a novel collaborative approach to ease bookmark management, especially the “classification�? of new bookmarks into a folder. We propose a methodology to realize the collaborative classification idea of considering how similar users have classified a bookmark. A combination of nearest-neighbor-classifiers is used to derive a recommendation from similar users on where to store a new bookmark. A prototype system called CariBo has been implemented as a plugin for the central bookmark server software SiteBar. All findings have been evaluated on a reasonably large scale, real user dataset with promising results, and possible implications for shared and social bookmarking systems are discussed.
%0 Journal Article
%1 benz2007supporting
%A Benz, Dominik
%A Tso, Karen H. L.
%A Schmidt-Thieme, Lars
%D 2007
%J Special Issue of the Computer Networks journal on Innovations in Web Communications Infrastructure
%K studienarbeit 2007 myown itegpub
%N 16
%P 4574--4585
%R http://dx.doi.org/10.1016/j.comnet.2007.06.014
%T Supporting Collaborative Hierarchical Classification: Bookmarks as an Example
%U http://www.kde.cs.uni-kassel.de/pub/pdf/benz2007supporting.pdf
%V 51
%X Bookmarks (or favorites, hotlists) are popular strategies to relocate interesting websites on the WWW by creating a personalized URL repository. Most current browsers offer a facility to locally store and manage bookmarks in a hierarchy of folders; though, with growing size, users reportedly have trouble to create and maintain a stable organization structure. This paper presents a novel collaborative approach to ease bookmark management, especially the “classification�? of new bookmarks into a folder. We propose a methodology to realize the collaborative classification idea of considering how similar users have classified a bookmark. A combination of nearest-neighbor-classifiers is used to derive a recommendation from similar users on where to store a new bookmark. A prototype system called CariBo has been implemented as a plugin for the central bookmark server software SiteBar. All findings have been evaluated on a reasonably large scale, real user dataset with promising results, and possible implications for shared and social bookmarking systems are discussed.
@article{benz2007supporting,
abstract = {Bookmarks (or favorites, hotlists) are popular strategies to relocate interesting websites on the WWW by creating a personalized URL repository. Most current browsers offer a facility to locally store and manage bookmarks in a hierarchy of folders; though, with growing size, users reportedly have trouble to create and maintain a stable organization structure. This paper presents a novel collaborative approach to ease bookmark management, especially the “classification�? of new bookmarks into a folder. We propose a methodology to realize the collaborative classification idea of considering how similar users have classified a bookmark. A combination of nearest-neighbor-classifiers is used to derive a recommendation from similar users on where to store a new bookmark. A prototype system called CariBo has been implemented as a plugin for the central bookmark server software SiteBar. All findings have been evaluated on a reasonably large scale, real user dataset with promising results, and possible implications for shared and social bookmarking systems are discussed.},
added-at = {2011-01-28T16:26:42.000+0100},
author = {Benz, Dominik and Tso, Karen H. L. and Schmidt-Thieme, Lars},
biburl = {https://www.bibsonomy.org/bibtex/2ec4387ab22950b38a0c152d4f33b0987/dbenz},
doi = {http://dx.doi.org/10.1016/j.comnet.2007.06.014},
file = {benz2007supporting.pdf:benz2007supporting.pdf:PDF},
interhash = {181404c6a55baf6fe5db8448ac0d5bf0},
intrahash = {ec4387ab22950b38a0c152d4f33b0987},
journal = {Special Issue of the Computer Networks journal on Innovations in Web Communications Infrastructure},
keywords = {studienarbeit 2007 myown itegpub},
number = 16,
pages = {4574--4585},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {Supporting Collaborative Hierarchical Classification: Bookmarks as an Example},
url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2007supporting.pdf},
volume = 51,
year = 2007
}