Advancement in Personalized Web Search Engine with Customized Privacy Protection

Abstract

Technologies are blooming, needs are growing, larger user data is getting aggregated, and thus privacy becomes a matter of concern in this fast paced, technology driven environment. People are relying mostly on Internet for almost everything they work on or experience. The web search engines confuse us sometimes by giving mixed results. Different people may have variant requirements, and search engines provide same results for same queries, but to different people. In this paper, we intend to solve this problem by a technique of generating online user profiles before firing any query. This user profile would store the user details and the search engine would display results according to this generated profile. We use collaborative filtering and ranking function to filter out the pages according to the preferences of user. We intend to add a feature in our system where in, the users will get a chance to handle their degree of privacy. We offer them two friendly buttons—“Private” and “Public”. These buttons will decide whether the user wants to share his details with other users or not. A combination of personalization and privacy would surely be worth a good use for the Internet seekers.