Supporting privacy protection in personalized web search for knowledge mining

Abstract: With increasing number of websites the Web users are increased with the massive amount of data available in the internet which is provided by the Web Search Engine (WSE). The aim of the WSE is to provide the relevant search result to the user with the behavior of the user click were they performed. WSE provide the relevant result on behalf of the user frequent click based method. From this method no assurance to the user privacy and also no securities were providing to their data. Hence users were afraid for their private information during search has become a major barrier. They were many techniques were proposed by researchers most of that based on the server side, it has provide less security. For minimizing the privacy risk here we propose the client side based technique with the combination of Greedy method to prevent the user data that we applied in Knowledge mining area.

Keywords: Web Search Engine, personalized search, user query logs, content search and privacy preserving.