Efficient Privacy on Personalized Web Search Using Web Transformation Technique in User Profile

Abstract

The time required for query processing over the internet is high due to the massively increasing amount of data on the server. Sometimes we may get irrelevant information as a result for a query. So we go for Personalized Web Search (PWS) to make the query processing good. In PWS, the query processing is done with the help of user profile. The user profile is created in two manners namely implicit and explicit. The implicit method creates the user profile from user’s browser histories, email, document and etc., without any effort from the user. Through this method the profile created with some user’s personal and secret information. Exposure of secret information on web leads to the privacy problem. In another way that the profile was created by explicit method. In this method the users requested to create their profile manually on the web. After profile creation the query processing is takes place. At each time a query is generated by a user that is combined with the personalized profile to generate a personalized query. Now the generalized query is send to the server. The server process the query then ranks the collected information. Finally the results are given to the client side and viewed to the user. The profile is updated in both ways at each time of query processing (automatically) and also by the manual update. To increase the privacy protection the profile details is reviewed at users own time. They can hide their secret information from the profile. Each profile updating process checks the newly added field information with the already hided field information. If any newly added field information matches with the personalized information then a notification is generated automatically to alert the user to personalize their profile.
DOI: 10.17762/ijritcc2321-8169.150606