Advance Image Search Based On Extended RMTF

Abstract

Information on internet is increasing every day at exponential rate. Utilization of ERP, social networking
web sites, online shopping, advertisement causes tremendous hike in the data. To deliver exact information out of
such huge amount of data is not at all an easy task. Various data, mining, indexing, filtration of data are looking
ordinary to meet the requirement specified by the user. So there is need to have a model by considering user at center.
Prime objectives of such a system need to be 1) to separate unwanted data 2) to deliver correct data intended by users.
Many of times search engine delivering user specific results end up with mere customization of results. There could be
several perceptions of input provided or there could be different interpretation of given input for search. This causes a
gap between expectation of user and results delivered by search engines. There must be a mechanism to understand
the specific requirement given by user and to deliver the solution accordingly. For carrying out searching general or
random search approach is not mandatory because every user got some interest or requirements before that user
proceeds for the search. To provide a solution as per the requirement mentioned by user novel approach is proposed ;
keeping pace with time and to deliver the result without any influence of marketing strategies like Search Engine
Optimization (SEO), Search Engine Marketing (SEM), false hits to improve page ranking is needed. Mechanism to
calculate Interest of specific user and to identify the exact requirements based on interest of individual need to be the
only parameter to decide index of web pages. System implemented performs search of query entered by the user by
considering interest of the user collected with the help of set of images. This system delivers solution for query with
single and multiple words. Concept of provision of set of images from various categories