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
Related Articles
- EP ID EP399989
- DOI -
- Views 108
- Downloads 0
Grid Power Compensation by Micro Grid System with Bidirectional AC/DC Converter and DC/DC Converter PWM Strategy
To accomplish the power quality maintenance, DC-DC converter (buck and boost converter) and a bidirectional AC/DC converter is implemented. The available power from the micro grid is stored in a battery. The power from t...
DETECTING SPAM ATTACKS IN E-MAIL USING BAYESIAN ALGORITHM
Spam is a junk mail that increase problem through internet. Spam is used to steal some confidential information. Spam also spread Worms, Viruses, Trojans and cookies. The free availability of e-mail service helps the med...
SECURITY THREATS AND BENEFITS OF CLOUD COMPUTING TRANSITIONING TO A NEW WAY OF DOING BUSINESS
: Cloud computing provides a new environment that enables organizations to leverage emerging technologies that address growing business challenges and to position their companies to be more competitive in a cost-effecti...
AN EFFICIENT ACTIVITY TRACKING AND RECOGNITION USING THE NEURAL NETWORK CLASSIFIER
A continuous video contains two important components such as tracks of the person in the video, and localization of the actions that are performed by the actors. The analysis of the activity is used for so...
AN EFFICIENT DAUBECHIES COMPLEX WAVELET BASED MULTI-RESOLUTION APPROACH FOR MULTIMODAL MEDICAL IMAGE FUSION
Multimodality approach for medical images provides multiple advantages for the detection, diagnosis and management of the diseases. Image fusion techniques are used to combine the high resolution images with...