Challenges and recent trends in personalized Web search: A survey

Abstract

The exponential growth of the Web in last decade makes the largest publically available data source in the world. It integrates text, graphics, audio, video and hypertext. Web users approaches many searching techniques to access the enormous information available on the World Wide Web (WWW). Web search is a process to find information from the pile of documents, Web pages and Web sources. Search engines are playing vital role in Web search process. But the Web users and their essential content may vary among one another. Moreover the users are struggling for obtaining the most significant information while processing their desire content. The main objective of this paper is to provide a comparative analysis of the Web search concepts using Web mining techniques. This paper also highlights the Fuzzy Neural Networks approach in the history for enhancing Web search.