期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：5
DOI：10.15680/ijircce.2015.0305144
出版社：S&S Publications
摘要：Personalized Web Search is a best way to improve search quality by customizing search results for theusers with individual information goals. This is achieved through implicitly collection of user profiles, browsinghistory, clicked through data, bookmarks, location of the user. However, users are not willing to expose their privatepreference information to search engines. Many research are undergoing in improving Personalized Web Search(PWS), this system added another dimension that is Privacy Protection in PWS. This system has a framework by namepersonalized privacy preserving search framework, which is very helpful framework where eavesdroppers are not ableto get any details of the users since privacy measures are taking place at client side. To achieve privacy protection, thissystem provides metadata and user‟s query encryption which is achieved using MD-5 hashing technique. In thebeginning it will look like a keyword search but there is a behavioral observing system called the Spy-NB, whichmonitors the users‟ behavior and which will provide the results sets according to the users‟ interest in efficient way. Toimprove the personalized search, this system uses Taxonomy (ontology) concepts, RSMV, GreedyIL & GreedyDPalgorithm. This system may be applied in real world applications like Google and Yahoo search engine, which allowsusers to describe their interests explicitly by selecting from pre-defined preference option, so that the results that matchare re-rank according to the user‟s interests and also gives users the option to save web sites they like and block thosethey dislike.
