INFORMATION PRIVACY PROTECTION IN PERSONALIZED WEB SEARCH FOR IMPROVING RETRIEVAL EFFECTIVENESS

Abstract

There are lots of Web search engines such as Yahoo, Google, Redifmail, etc. These web search engines are widely used to search huge amount of data on Internet. Search Engines are the basic tool of the internet from where user can collects needed information by searching on Internet. Now a day’s user spends lots of time on internet for searching accurate result. So we study privacy protection in PWS (Personalized Web Search) application that model create users profile and we proposed a PWS framework called UPS that is general category which is use for searching and aim is to provide better search result. For the generalization purpose we represent two algorithms Greedy IL & Greedy DP. To check whether a personalization query is helpful or not, so we use online prediction mechanism for run time generalization.