A methodology of a multiple content aggregation over distributed environment

Content aggregators generally used to aggregate user's data to provide recommendation for the user about the search. In that on the basis of user's previous experience search data is recommended to the user. A brief review over the various techniques is presented in this paper, which shows that previous techniques suffers some defects which degrades performance these techniques. Thus a new technique is presented in this paper to provide an enhanced framework to search data.