Personalized and Image based Search System to Improve Search Results
Abstract: In todays condition, information is the need of society as it has significant importance for contemporary success in every field. As there is vast growth of information available to the end users on the Web through internet, a search engine come to play a crucial role in information retrieval. Various search engines are there but sometimes they can be insufficient to specify the precise users need as the queries may be short and ambiguous. They also ignores the images in HTML pages. As users understand the pictures more easily than thousands of words, pictures may also help to the users who dont have good hand at searching. This paper present an approach to design a personalized search system based on user interest to improve the result delivery. Several parameters for personalization can be taken as users profile, his search history, preferences, ratings, etc. It also gives image based more relevant web pages re-ranked technique. The accuracy of web search results can be improve by considering the textual contents of the images in correlation with the personalization. Thus the integration of both the mechanism implies to enhance the search results.
Keywords: Search Engine, information retrieval, Web Search, Personalization
How to Cite?: Sneha A. Taksande, A. V. Deorankar, "Personalized and Image based Search System to Improve Search Results", Volume 6 Issue 4, April 2017, International Journal of Science and Research (IJSR), Pages: 2122-2124, https://www.ijsr.net/getabstract.php?paperid=ART20172844, DOI: https://dx.doi.org/10.21275/ART20172844