Supporting collaborative hierarchical classification: Bookmarks as an example

Abstract

Bookmarks (or Favorites, Hotlists) are a popular strategy 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-neighbour-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 of the central bookmark server software SiteBar. All findings have been evaluated on a large scale real user dataset with promising results, and possible implications for shared and social bookmarking systems are discussed.

Exploitation of semantic relationships and hierarchical data structures to support a user in his annotation and browsing activities in folksonomies

“…Authors in [8] describe CariBo, an approach to building shared bookmarks. CariBo applies a collaborative filtering algorithm based on the k-nearest neighbour classifier to build a hierarchy of folders.…”

Exploring the Dynamic Influence of Visit Behavior on Online Store Sales Performance: An Empirical Investigation

“…The method of identifying unique visitors has been widely examined in computer science (Kneževi & Vidas-Bubanja, 2010), and the number of visitors is regarded as a significant factor in marketing strategy (Sharma & Gupta, 2012). Visitor bookmarking behavior has also been examined as an important factor affecting sales performance (Benz et al, 2007;Wilson & Woodside, 1991). To address the lack of research on multiple aspects of visit behavior evaluated in a single model, we collect data from an e-commerce website and examine different measures of visit behavior and sales performance.…”