期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：4
页码：17-21
语种：English
出版社：Ayushmaan Technologies
摘要：Now a day’s use of internet is increased with a big extent due to this large data is uploaded and downloaded by various internet users and a quite large-scale of data is processed. Users can create, share and comment Medias using social sharing websites like Flickr and YouTube so once we have such a huge data to handle on the internet we cannot find the right information which we are searching. The data generated by user called metadata provides multiple things like sharing, organizing multimedia contents and provides useful information related to multimedia management. Due to this reason I am proposing a “Personalized image search Engine by using ontological search and hybrid ranking Algorithms”. By using this algorithm I can make our search personalized with a specific limit. This system is advantageous over Google because Google gives non-personalized information, which is not as per user desirable requirements. The basic premise of our system is to combine user preferences and query related search into user specific topics. This proposed system consists of two parts, first part contains hybrid re-ranking algorithm based on ontology about images as well as text and second part contains ontological user profiles for personalized image search.
