In Tags We Trust: Trust modeling in social tagging of multimedia content PROJECT TITLE :In Tags We Trust: Trust modeling in social tagging of multimedia contentABSTRACT:Tagging in online social networks is very popular these days, as it facilitates search and retrieval of multimedia content. However, noisy and spam annotations often make it difficult to perform an efficient search. Users may make mistakes in tagging and irrelevant tags and content may be maliciously added for advertisement or self-promotion. This article surveys recent advances in techniques for combatting such noise and spam in social tagging. We classify the state-of-the-art approaches into a few categories and study representative examples in each. We also qualitatively compare and contrast them and outline open issues for future research. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Security of Online Reputation Systems: The evolution of attacks and defenses Challenges in Indoor Global Navigation Satellite Systems: Unveiling its core features in signal processing