%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 2006 itegpub iwi myown studienarbeit www2006 %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.