Collaborative Filtering of Malicious Information from the MULTimedia Data Using s
Manikandan Parasuraman, G. P. Poornimai Abirami, Arockia Raj A, Krishnan Batri, Ashok Kumar Munnangi, Miles Kumaresan · 2023
Due to high proliferation of unsolicited information in the text, image and video files, the social media analytics engine suffers from losing its user, user privacy and others. The unsolicited information is been a huge threat to the service provides as it affects the reputations of the services provided and hence it is necessary to develop an intelligent model. Modern machine learning techniques are applied to identify and filter unsolicited information. However, some of the conventional methods are designed in an insecure way while processing all the text file, image and video files.