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Study on Protecting Privacy in Personalized Web Search


Affiliations
1 Department of Computer Engg., Savitribai Phule Pune University/Dr. D.Y. Patil. School of Engineering and Technology, Pune, India
2 Department of Computer.Engg., Savitribai Phule Pune University/Dr. D.Y. Patil. School of Engineering, Pune, India
     

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The size of the Internet increasing as per to grow the users of search providers continually demand search results that are accurate to their demands. Personalized Search is one of the options available to users in order to sculpt search results based on their personal data returned to them provided to the search provider. This brings up fears of privacy issues however, as users are typically anxious to revealing personal info to an often faceless service provider along the Internet. This work proposes to administer with the privacy issues surrounding personalized search and discusses ways that privacy can be improved so that users can get easier with the dismissal of their personal information in order to obtain more precise search results.


Keywords

GreedyIL, GreedyDP, Privacy Protection, Personalized Web Search.
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  • Study on Protecting Privacy in Personalized Web Search

Abstract Views: 156  |  PDF Views: 3

Authors

Najneen Tamboli
Department of Computer Engg., Savitribai Phule Pune University/Dr. D.Y. Patil. School of Engineering and Technology, Pune, India
Sathish Kumar Penchala
Department of Computer.Engg., Savitribai Phule Pune University/Dr. D.Y. Patil. School of Engineering, Pune, India

Abstract


The size of the Internet increasing as per to grow the users of search providers continually demand search results that are accurate to their demands. Personalized Search is one of the options available to users in order to sculpt search results based on their personal data returned to them provided to the search provider. This brings up fears of privacy issues however, as users are typically anxious to revealing personal info to an often faceless service provider along the Internet. This work proposes to administer with the privacy issues surrounding personalized search and discusses ways that privacy can be improved so that users can get easier with the dismissal of their personal information in order to obtain more precise search results.


Keywords


GreedyIL, GreedyDP, Privacy Protection, Personalized Web Search.