Methods for detecting spammers and content promoters in online video social networks
OwnerFabricio Benevenuto De Souza, Tiago Rodrigues De Magalhaes +3inventors
InventorsFabricio Benevenuto De Souza, Tiago Rodrigues De Magalhaes, Virgilio Augusto Femandes Almeida, Jussara Marques De Almeida, Marcos Andre Goncalves
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Abstract
The present invention relates to a method for detecting video spammers and promoters in online video social systems. Using attributes based on the user's profile, the user's social behavior in the system, and the videos posted by the user as well as the target (responded) videos, the feasibility of applying a supervised learning method to identify polluters (spammers and promoters) is investigated.
Claims14
Method for classifying an user in a video social networks comprising the steps of:
- generating a set of video social networks users, each user having a set of user behavior attributes;
- creating a statistical model to distinguish different users classes based on user behavior attributes;
- and
- classifying each user using the statistical model.
Dependencies are inferred from the claim text.