A Privacy-Preserving Personalized Web Search Framework Ups To Generalize Profiles According To User-Specified Privacy Requirements
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 8
Abstract
Personalized web search (PWS) is a universal group of search techniques aim at as long as better search results which are adapted for individual user needs. As the expense user information has to be together and analyzed to figure out the user meaning at the back the issued query. The answer to PWS can usually be categorized into two type’s namely click-log-based methods and profile-based ones. The click-log based methods are simple. They just inflict prejudice to clack pages in the user’s query history. Although this plan has been established to carry out time after time and significantly well . It can only employment on frequent queries from the same user which is a burly restraint imprisoned its applicability. In contrast profile-based methods pick up the search experience with complicated user-interest models generated from user profiling techniques. Profile-based methods can be potentially effective for almost all sorts of queries but are reported to be rickety under some conditions.
Authors and Affiliations
V. Gangaraju, K. Arunabhaskar
Keywords
Related Articles
- EP ID EP28226
- DOI -
- Views 288
- Downloads 3
An Efficient Multideployment and Multisnapshotting in Cloud Computing
Infrastructure as a Service is a provision model in which an organization outsources the equipment used to support operations, including storage, hardware, servers and networking components.(IaaS)cloud computing has...
Optimal Powersystem Restoration using Neural Network
In this recent trends Power system restoration (PSR) became a challenging topic for the keen researchers. Many people proposes many techniques to solve this problem and overcome the limitations of the existing techn...
A Survey on Greedy Reconstruction Algorithms in Compressive Sensing
Compressive sensing (CS) is a field of signal processing that provides a framework for image recovery using sub-Nyquist sampling rates. CS has recently gained a lot of attention due to its exploitation of signal sparsit...
Content Accumulating and Development beyond Elastic and Inelastic Traffic in Wireless Networks
Caching and multicasting at base stations are two promising ways to deal with bolster monstrous substance conveyance over remote systems. Be that as it may, existing planning outlines don't make full utilization of t...
Data mining and warehousing for Temporal Data Objects
Mobility data analysis became a more challenging task because of its huge application in different field of science and other daily applications like service accessibility, mobile marketing and traffic management. On...