USER INTEREST FOR PERSONALISED SEARCH BASED ON AUTOMATIC IDENTIFICATION
Journal Title: Elysium Journal of Engineering Research and Management - Year 2015, Vol 2, Issue 4
Abstract
The quality of several search services on the Internet is enhanced by the personalized web search (PWS). Due to the user’s unwillingness to reveal their individual information, while search has become a major obstruction for the broad use of PWS. As per the user preferences, the privacy protection in PWS applications that model acts as hierarchical user profiles. In this paper, a PWS framework named UPS that can derive the profiles by inquiries during with regard to user specified privacy requirements. A striking balance between two predictive metrics that estimate the privacy risk of obstructive the generalized profile and the function of personalization is aimed by our runtime generalization. It is generalized by two greedy algorithms; there are Greedy DP and Greedy IL. Hence, to decide the personalizing a query is beneficial, which is given by an online prediction mechanism. The effectiveness of our framework is demonstrated by comprehensive experiments.
Authors and Affiliations
Jeyanthi S. , Priya B.
Keywords
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