Abstract:
Information is available online. Some web content is reliable. We proposed a system that predicts whether web information is trustworthy based on user ratings. This system lets users read and rate web content. Based on user ratings, the system predicts whether web content is trustworthy.
This system infers user trust from ratings. User ratings are used to determine web content trustworthiness. Web information credibility analysis requires web user trust mining.
We propose an evidence-based web user trust prediction method that uses user ratings to infer trust relationships between users. Web users will trust this system. Website content is reliable. This system will reduce online misinformation.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
Did you like this final year project?
To download this project Code with thesis report and project training... Click Here
