%0 Conference Paper %1 benz2006automatic %A Benz, Dominik %A Tso, Karen H. L. %A Schmidt-Thieme, Lars %B Proceedings of the 2nd Workshop in Innovations in Web Infrastructure (IWI2) at WWW2006 %C Edinburgh, Scotland %D 2006 %K studienarbeit www2006 2006 myown iwi itegpub %T Automatic Bookmark Classification - A Collaborative Approach %U http://www.kde.cs.uni-kassel.de/pub/pdf/benz2006automatic.pdf %X Bookmarks (or Favorites, Hotlists) are a popular strategy to relocate interesting websites on the WWW by creating a personalized local URL repository. Most current browsers offer a facility to store and manage bookmarks in a hierarchy of folders; though, with growing size, users reportedly have trouble to create and maintain a stable taxonomy. 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-neighbour-classifiers is used to derive a recommendation from similar users on where to store a new bookmark. Additionally, a procedure to generate keyword recommendations is proposed to ease the annotation of new bookmarks. A prototype system called CariBo has been implemented as a plugin of the central bookmark server software SiteBar. A case study conducted with real user data supports the validity of the approach.

@inproceedings{benz2006automatic, abstract = {Bookmarks (or Favorites, Hotlists) are a popular strategy to relocate interesting websites on the WWW by creating a personalized local URL repository. Most current browsers offer a facility to store and manage bookmarks in a hierarchy of folders; though, with growing size, users reportedly have trouble to create and maintain a stable taxonomy. 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-neighbour-classifiers is used to derive a recommendation from similar users on where to store a new bookmark. Additionally, a procedure to generate keyword recommendations is proposed to ease the annotation of new bookmarks. A prototype system called CariBo has been implemented as a plugin of the central bookmark server software SiteBar. A case study conducted with real user data supports the validity of the approach.}, added-at = {2015-10-07T11:42:05.000+0200}, address = {Edinburgh, Scotland}, author = {Benz, Dominik and Tso, Karen H. L. and Schmidt-Thieme, Lars}, biburl = {https://www.bibsonomy.org/bibtex/29d685c05008804a45b72a43586777b3b/kde-alumni}, booktitle = {Proceedings of the 2nd Workshop in Innovations in Web Infrastructure (IWI2) at WWW2006}, file = {benz2006automatic.pdf:benz2006automatic.pdf:PDF}, interhash = {72efbe1b69d12bc3ce35522bc1c83e82}, intrahash = {9d685c05008804a45b72a43586777b3b}, keywords = {studienarbeit www2006 2006 myown iwi itegpub}, month = May, note = {isbn = {085432853X}}, timestamp = {2016-11-29T17:42:23.000+0100}, title = {Automatic Bookmark Classification - A Collaborative Approach}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2006automatic.pdf}, year = 2006 }