Algorithm Design for Robust Web Personalization Using Neural Network
In the recent few spans the World Wide Web has become the leading and most general way of communication and information sharing. World Wide Web is a huge source of web pages and links. The size of information available on the internet is increasing exponentially, as around one million pages are added every day. So there is a problem of information overload. The dynamic and heterogeneous nature of the web makes web site search process very difficult for the end users. The users are provided with more information and service options. It becomes very difficult for end users to access the useful and relevant information from the web. Usually, every user has different information requirements for their query. But typical search engines return the same result for the same query submitted by different users.
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