Conference proceedings article
A Comparison of Social Bookmarking with Traditional Search

Publication Details
Stumme, G.; Hotho, A.
Macdonald Craig, Ounis Iadh, Plachouras Vassilis, Ruthven Ian, White W. Ryen
Publication year:
Pages range:
Book title:
Advances in Information Retrieval, 30th European Conference on IR Research, ECIR 2008
Title of series:
Lecture Notes in Computer Science
Volume number:

Social bookmarking systems allow users to store links to internet resources on a web page. As social bookmarking systems are growing in popularity, search algorithms have been developed that transfer the idea of link-based rankings in the Web to a social bookmarking system’sdata structure. These rankings differ from traditional search engine rankings in that they incorporate the rating of users. In this study, we compare search in social bookmarking systems with traditionalWeb search. In the first part, we compare the user activity and behaviour in both kinds of systems, as well as the overlap of the underlying sets of URLs. In the second part,we compare graph-based and vector space rankings for social bookmarking systems with commercial search engine rankings.Our experiments are performed on data of the social bookmarking system and on rankings and log data from Google, MSN, and AOL. We will show that part of the difference between the systems is due to different behaviour (e. g., the concatenat

bookmarking, itegpub, logsonomies, social, tagorapub

Last updated on 2019-25-07 at 15:14