Personalized Web Search based on Privacy Protection and High Efficiency
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
Abstract
Custom made web search has establishment as their effectiveness in improving the quality of various search services on the internet. User is not interest to disclose their private information during search. So it is the major barrier during search, we propose a personalized web search. It can adapted to the user profiles by queries and respecting to the user requirements. Runtime generalization aims at balance between the personalization and user privacy profiles. The search engine is processed based on query search either through general and user profile. User data are not saved in the server side cache memory to maintain the privacy. Relevance is measured as the probability that a retrieved resource actually contains those relations whose existence was assumed by the user at the time of query definition. Relevant data are retrieved based on the query check using profile based and general based. The large size and dynamic nature of the web highlight need for continuous support and updating of web based information retrieval system. The data retrieved proceed with the filter search technique to improve the search engine optimization.
Authors and Affiliations
Parvathi M, Mr. R. JPoovaraghan
Keywords
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