Spam detection in collaborative tagging

Nayak, D and Sahoo, M R (2014) Spam detection in collaborative tagging. BTech thesis.



The algorithm proposed will be able to identify the spammers and demote their ranks cocooning the users from their malicious intents and gives popular and relevant resources in a collaborative tagging system or in online dating sites, or any other online forum where there are discussions like quora, amazon feedbacks etc. by a suitable algorithm on lines of an existing one but with multifaceating dimensions as against them. We have taken the assumption that there are two factors on which the virtuosity of a user with reference to a resource or a document depends on. First and foremost an expert should have a rich content resource in his repertoire and his dexterity to find good resources, however the paraphernalia for rich resource is virtuosity of users who tagged it. Secondly, an expert should be first to identify intriguing or riveting documents.

Item Type:Thesis (BTech)
Uncontrolled Keywords:Collaborative Tagging; Web-Scraping; Spamming
Subjects:Engineering and Technology > Computer and Information Science > Data Mining
Divisions: Engineering and Technology > Department of Computer Science
ID Code:5959
Deposited By:Hemanta Biswal
Deposited On:22 Aug 2014 15:36
Last Modified:22 Aug 2014 15:36
Supervisor(s):Mohapatra, R K

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