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Web Search For Web Searching Engine Essay

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Abstract—Web searching engine are mostly used for finding certain information among a huge amount of data in a minimum amount of period. Profile based personalized web search (PWS) has determine their effectiveness in improving the quality of various internet search technique. We study security of privacy protection for PWS applications that as hierarchical user profiles. In this paper we can implement the PWS system called UPS that can flexibly create profiles by queries while regarding user definite privacy requirements. Our runtime generalization goals at striking a level between two predictive metrics that evaluate the effectiveness of personalization and the privacy risk of exposing the generalized profile. We implemented this system with greedy algorithms, for runtime profile generalization also provides a runtime prediction mechanism for determining whether personalizing a query is useful. Extensive experiments prove the effectiveness of our system. The experimental results also reveal that Greedy algorithms significantly outperform in terms of effectiveness. Index Terms—Profile, Personalized web search, Greedy algorithms, Privacy protection, Risk , Security. F 1 INTRODUCTION WEB searching engine are most important portal for people who are looking for some useful information related to their re- quirement from the web. When search engine return some unwanted result then that may be failure for the user search and do not meet real meanings. This irrelevance

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