User Customizable Privacy-Preserving Personalized Web Search

Personalized web search (PWS) has demonstrated its effectiveness in improving the quality of various search services on the Internet. However, evidences show that users' reluctance to disclose their private information during search has become a major barrier for the wide proliferation of PWS....

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Bibliographic Details
Published inInternational journal of computer science and information security Vol. 13; no. 4; p. 6
Main Authors Akhila, G S, Prasanth, R S
Format Journal Article
LanguageEnglish
Published Pittsburgh L J S Publishing 01.04.2015
Subjects
Algorithms
Computer information security
Customizing
Internet
Methods
Personal information
Personalized
Queries
Reluctance
Retrieval performance measures
Search engines
Searching
Service introduction
UPS
User profiles
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Summary:Personalized web search (PWS) has demonstrated its effectiveness in improving the quality of various search services on the Internet. However, evidences show that users' reluctance to disclose their private information during search has become a major barrier for the wide proliferation of PWS. This paper proposes a PWS framework called UPS that can adaptively generalize profiles by queries while respecting user specified privacy requirements. Present an algorithm, namely GreedylL, for runtime generalization. The experimental results show that GreedyIL performs efficiently.
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ISSN:1947-5500