Ontology based classification of user history in obscured web search

User history includes user search and other web activities like searching, downloading and extracting information. Normally, the user history is public, which can be viewed by other users when the search history is not cleared. This can be avoided by performing searching by signing-into the search engine account. The search is found to be personalized. In user history, when we get on to the query it will depart to the corresponding web page. In this paper, we are proposing a model which relates the user searches with the history on the personalized location and retrieving related information if search is found. We present the algorithm, called Decision making algorithm in order to classify the content in the user history. The segregated results are located into the corresponding directory. Extensive experiment demonstrates the efficiency and effectiveness of our construction.