Spam Detection in Social Bookmarking

Abstract

How can we keep track of information, manage our resources that we have a way back on internet? The answer is Social Bookmarking Tool such as Bibsonomy, Delicious etc. these tool help to keep track of important URL or a link to any publication. These systems provide powerful solution for information sharing. Spammer find Social Bookmarking Tool a very vulnerable area for the publicity of their URL like a advertising link, which has nothing to do with information sharing among user. Spammer post irrelevant or misleading information for their benefit. The key challenge is to identify the spammer. Various machine learning technique ahs been propose to automatically detect the spammer using the various information they post. First the classifier is trained using the set of training value (feature selected for classification) and after the training a future data or a unseen test case applied to classifier which predict whether a unlabeled user is spammer or not.