Privacy Preservation of Online Tagging End Users by Tag Suppression and Graph Analysis

One of the most popular services provided in the online store is collaborative tagging. It allows the end user to loosely classify the products into categories and the products can be viewed in the categories where they belong to. The tags to the products contain sensitive information such as usernames which is a personal information of the user. Suppressing the sensitive tags might be a useful way to preserve the end user privacy. In the paper, we make contribution to the online shopping mart by providing the efficient method to increase their business by monitoring the interest of the users and contribution towards how a tag suppression technique will enhance the privacy of the user by using a most popular form that is tag suppression. We have also dealt with the keyword search technique which provides web access functionality such as easy discovery of product, by content filtering and discoveries based on the user preferences.