Online Web Mining Process With Ranking System Using SVM
Sesha Maruthi, J. Albert Mayan · 2014
A multi-nodal approach is employed by utilizing the textual content and knowledge data information to gather high-quality images from the web is the core idea of this project. Candidate images are retrieved primarily by a text based web search querying on the object identifier. The pictures will be retrieved from the web pages and an option of removing irrelevant pictures and re-rank the remaining is introduced. The major intension is to improve user satisfaction rate by returning the pictures that have a hig her rate of acceptance by the user. In the proposed system, I am implementing all the conceptual information provided and in addition, I am trying to integrate the ranking features. So that an automatic ranking on the pictures will be done based on the knowledge data features of a picture. In addition, the user will be provided an option of ranking the site manually.