Prevent the Data Loss Using Hybrid Collaborative Filtering Recommendation Model in Social Network Websites

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Provided by: International Journal of Merging Technology and Advanced Research in Computing (IJMTARC)
Topic: Security
Format: PDF
The Social Networking Web Sites (SNWS) like Facebook, Google, Twitter, etc.., may provide third party applications. These third-party apps may consist of gaming and productive application platform in order to draw user attention. These social networking sites consist of millions of users accessing billions of third-party apps and their activities are in increasing manner from day-to-day. It consist exposure of user's sensitive and confidential data to the third-party vendors. Although, the existing system O Auth provides open authentication standard protocol access for efficient security issues.
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