Supporting collaborative hierarchical classification: Bookmarks as an example

被引:3
作者
Benz, Dominik
Tso, Karen H. L.
Schmidt-Thieme, Lars
机构
[1] Univ Freiburg, Dept Comp Sci, Comp Based New Media Grp, D-79110 Freiburg, Germany
[2] Univ Hildesheim, ISMMLL, D-31141 Hildesheim, Germany
关键词
WWW; social bookmarking; bookmark classification; collaborative filtering; recommender systems;
D O I
10.1016/j.comnet.2007.06.014
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 [计算机科学与技术];
摘要
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 case 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. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:4574 / 4585
页数:12
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