EMENDED QUERY AUGMENTATION BASED MODEL USED IN INTERNET DATA SEARCHING

As the technology is advancing, web searching is increasingly important .Users is facing problems to retrieve the appropriate documents from the web. This is due to lack of knowledge and also due to negligence towards queries. So we propose a system that is named as Emended Query Augmentation Based model used in Internet Data Searching which is an efficient method to search the web. It works on feedback system, reorganizes the searched documents and then optimizes the search as well as the documents. This system gives performance improvement with reduced time and computational complexities