@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.},
  author = {Benz, Dominik and Tso, Karen H. L. and Schmidt-Thieme, Lars},
  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},
  number = 16,
  pages = {4574--4585},
  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
}