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Detecting trends in social bookmarking systems: A endeavor

: Wetzker, R.; Zimmermann, C.; Bauckhage, C.


International journal of data warehousing and mining : IJDWM 6 (2010), Nr.1, S.38-57
ISSN: 1548-3924
ISSN: 1548-3932
Fraunhofer IAIS ()

The authors present and evaluate an approach to trend detection in social bookmarking systems using a probabilistic generative model in combination with smoothing techniques. Social bookmarking systems are gaining major interest among researchers in the areas of data mining and Web intelligence, since they provide a large amount of user-generated annotations and reflect the interest of millions of people. Based on a vast corpus of approximately 150 million bookmarks found at del., the authors analyze bookmarking and tagging patterns and discuss evidence that social bookmarking systems are vulnerable to spamming. They present a method to limit the impact of spam on a trend detector and provide conclusions as well as directions for future research.