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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| Veröffentlicht in: | International journal of computer science and information security 2015-04, Vol.13 (4), p.6-6 |
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| container_title | International journal of computer science and information security |
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| creator | Akhila, G S Prasanth, R S |
| description | 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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| fulltext | fulltext |
| identifier | EISSN: 1947-5500 |
| ispartof | International journal of computer science and information security, 2015-04, Vol.13 (4), p.6-6 |
| issn | 1947-5500 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1701002681 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Algorithms Computer information security Customizing Internet Methods Personal information Personalized Queries Reluctance Retrieval performance measures Search engines Searching Service introduction UPS User profiles |
| title | User Customizable Privacy-Preserving Personalized Web Search |
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