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- 1. TRUST MODELING INSOCIAL TAGGING OF MULTIMEDIA CONTENT By C. Nirmala
- 2. Abstract Tagging in onlinesocial 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.
- 3. EXISTING SYSTEM Ratingsin online reputation systems, such as eBay, Amazon are very similar to tagging systems and they may face the problem of unfair ratings by artificial inflating or deflating reputations.
- 4. PROPOSED SYSTEM In asocial tagging system, spam or noise can be injected at three different levels and trust modeling can be performed at each level or at different combined levels to assess user’s reliability. The levels are 1.Spam content 2.Spam tag-content association 3.Spammer
- 5. Contd.. In this project,categorize trust modeling approaches into two classes according to the target of trust, i.e., user and content trust modeling. Present approaches are sorted based on their complexity from simple to advanced, separately for both content and user trust models.
- 6. Categorization of TrustModels
- 7. Content Trust Modeling •Content trust modeling is used to classify content (e.g., Web pages, images, and videos) as spam. • Content trust modeling utilize features extracted from content information, users profile and associated tags to detect specific spam content.
- 8. User Trust Modeling(Static) Before mentioned studies consider users’ reliability as static at a specific moment. The tagging history of a user is better to consider, because a consistent good behavior of a user in the past can suddenly change by a few mistakes, which consequently ruins users trust in tagging.
- 9. User Trust Modeling(Dynamic) A dynamic trust score, called SocialTrust, is derived for each user. It depends on the quality of the relationship with his/her neighbours in a social graph and personalized feedback ratings received from neighbours so that trust scores are updated as the social network evolves. Users trust modeling is more popular than the content the trust modeling.
- 10. Hardware Requirements: Processor -Pentium –III Speed - 1.1 Ghz RAM - 256 MB Hard Disk - 20 GB Floppy Drive - 1.44 MB Key Board - Standard Windows Keyboard Mouse - Two or Three button mouse Monitor - SVGA REQUIREMENTS
- 11. Software Requirements: Operating System- Windows95/98/2000/XP Application Server - Tomcat 5.0/6X Front End - HTML Scripts - JavaScript Server side Script - Java, Java Server Pages Database - Oracle 10g Database Connectivity - JDBC
- 12. UML Diagrams • UnifiedModeling Language (UML) is a standardized general purpose modeling language in the field of software engineering. UML diagrams commonly created in visual modeling tools.
- 13. Class diagram user registration name password emailid security question secrity answer submit() cancel() upload id tags upload() cancel() request search request send request() cancel() user name password submit() cancel() tags imageid tagid emailid search() blocking image id email id cancel() admin user warn password submit() cancel() banuser id emailid status banuser() cancel()
- 14. Use case diagramfor user user registration login tag/like view profile upload user logout
- 15. Use case diagramfor admin login block in images reported images ban user log out Admin view image comments
- 16. Activity diagram foruser user login check s un authorised user no upload images search images tagging/like log out yes
- 17. Activity diagram forAdmin check s Unauthoris ed user no view user login yes admin login ban unauthorised user blocked images
- 18. Screen shots: Startpage & user registration page:
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- 28. Conclusion: As online socialnetworks and content sharing services evolve rapidly, we believe that the research on enhancing reliability and trustworthiness of such services will become increasingly important.