Dynamic Weighted Query Process in Personalized Privacy Protection in Data Retrieval
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 6
Abstract
Customized web look for (PWS) has demonstrated its efficiency in improving the quality of various look for services on the Internet. However, facts show that users’ desire not to reveal their personal detailsduring look for has become a major hurdle for the wide growth of PWS. We research privacy protection in PWS programs that model customer choices as ordered customer information. Customers are increasingly seeking complex task-oriented goals on the Web, such as making routes, managing financial situation or planning buys. To better support users in their long-term details missions on the Web, Google keep track of their concerns and mouse clicks while searching on the internet. In this paper, we research the problem of planning a user’s traditional concerns into categories in a powerful and automated fashion. Instantly determining question categories is helpful for a number of different Google look for engine components and programs, such as question suggestions, result ranking, question modifications, sessionization, and collaborative look for. The experimental results show efficient user profile maintainece and seek user convenient data assurance in privacy of user profiles in web search.
Authors and Affiliations
B. Bhanupratap Reddy
Keywords
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