NDLI: Personalized Web Search Protecting Privacy Using Greedy Algorithm

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Personalized Web Search Protecting Privacy Using Greedy Algorithm

Content Provider	Semantic Scholar
Author	Rathod, Meenakshi L. Totare, Reshma Raskar, Prajakta Modak, Pooja Bhujbal, Venuvanshi
Copyright Year	2015
Abstract	The amount of information on the World Wide Web is growing rapidly; search engines must be able to retrieve information according to the user's preference. Current web search engines are built to serve all users, independent of the special needs of any individual user. Personalization of web search is to carry out retrieval for each user incorporating his/her interests. Every user has a distinct background and a specific goal when searching for information on the Web. Thus the goal of Web search personalization is to tailor search results to a particular user based on that user’s interests and preferences. However, effective personalized search requires collecting and aggregating user information, which often raises serious concerns of privacy infringement for many users. Indeed, these concerns have become one of the main barriers for deploying personalized search applications, and how to do privacy-preserving personalization is a great challenge. Thus, a balance must be struck between search quality and privacy protection. Hence, privacy protection in PWS applications that model user preferences as hierarchical user profiles is proposed using a PWS framework called UPS that can adaptively generalize profiles by queries while respecting user specified privacy requirements. Along with Personalized Search and Privacy Protection the Custom Search functionality will also be provided so that the users get relevant information.
Starting Page	10
Ending Page	13
Page Count	4
File Format	PDF HTM / HTML
Volume Number	3
Alternate Webpage(s)	http://www.ijsrd.com/articles/IJSRDV3I1015.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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