Personalized Image Search using Ontological Knowledge base User Profiles and Ontology Mining
Abstract: As the Internet users and the number of accessible Images grows, it is becoming increasingly difficult for users to find images that are relevant to their particular needs. Personalized search serves as one of such examples where the image search experience is enhanced by achieving the returned list according to the user interests. Personalized image search aims at improving the retrieval process by considering the particular interests of individual users. In this paper, ontology is proposed to create user profiles to capture individual user interests, and use them to produce moderate improvements when applied to search results. Image retrieval is based upon visual context of image and user profiles.
Keywords: Image Retrieval, Ontology, Personalized Search, Ontology Mining, Specificity, Image search
How to Cite?: A. N. R. Latha Kumari, G. Pranitha, "Personalized Image Search using Ontological Knowledge base User Profiles and Ontology Mining", Volume 5 Issue 8, August 2016, International Journal of Science and Research (IJSR), Pages: 1562-1566, https://www.ijsr.net/getabstract.php?paperid=ART20161163, DOI: https://dx.doi.org/10.21275/ART20161163