%0 Journal Article %1 Benz07collaborativeClassification %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 07 @sugesstionMalnisFall09 Benz classification folksonomy hierarchical %N 16 %P 4574--4585 %T Suppporting Collaborative Hierarchical Classification: Bookmarks as an Example %U http://dx.doi.org/10.1016/j.comnet.2007.06.014 %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{Benz07collaborativeClassification, 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 = {2009-09-13T21:50:17.000+0200}, author = {Benz, Dominik and Tso, Karen H. L. and Schmidt-Thieme, Lars}, biburl = {https://www.bibsonomy.org/bibtex/2672348691746d55cd7eb05022ed91ef9/lee_peck}, interhash = {5feb6b95a7217fe0616c3fff4a2f0169}, intrahash = {672348691746d55cd7eb05022ed91ef9}, journal = {Special Issue of the Computer Networks journal on Innovations in Web Communications Infrastructure}, keywords = {07 @sugesstionMalnisFall09 Benz classification folksonomy hierarchical}, number = 16, pages = {4574--4585}, timestamp = {2009-09-13T21:50:17.000+0200}, title = {Suppporting Collaborative Hierarchical Classification: Bookmarks as an Example}, url = {http://dx.doi.org/10.1016/j.comnet.2007.06.014}, volume = 51, year = 2007 }