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Research Paper | Computer Science & Engineering | India | Volume 6 Issue 4, April 2017
Personalized Web Search Privacy Protection with Concealed User Requirement Specification
Abstract: Personalized web search (PWS) verified its usefulness in refining quality search on internet. Unwillingness of users towards reveal their private data during search is the major obstruction for the extensive proliferation of PWS. This paper focus on replicas preference of users as hierarchical user profile. A framework with profile generalization and privacy preservation of user information keep the data secure. The run time generalization using two algorithms named GreedyDP and GreedyIL.
Keywords: Profile personalization, Risk, Utility, Personalized Search
Edition: Volume 6 Issue 4, April 2017,
Pages: 2189 - 2191
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Survey Paper, Computer Science & Engineering, India, Volume 11 Issue 8, August 2022
Pages: 947 - 949COVID-19 Prediction using Machine Learning Algorithms
Saily Suresh Patil
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Survey Paper, Computer Science & Engineering, India, Volume 11 Issue 6, June 2022
Pages: 625 - 633Ridesharing DApps - A Study on Peer-to-Peer Ridesharing on Ethereum
Tushar S Menon | Aviral Srivastava | Aditya [131] | Dr. Radhika K R