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To gain the competitive advantage in today's age of technology, growing data and to bear the competitive pressure, making strong decisions according to customer's need and market trend has become very important. With huge amount of data on internet, web data mining has become very significant. Web Usage helps companies to produce productive information pertaining to the future of their business function...
Different efforts have been made to address the problem of information overload on the Internet. Web recommendation systems based on web usage mining try to mine users' behavior patterns from web access logs, and recommend pages to the online user by matching the user's browsing behavior with the mined historical behavior patterns. In this paper we propose effective and scalable technique to solve...
In our study, we propose a Web information recommendation framework depending on user behaviors. It is different from traditional recommendation systems depending on single association rule or classification engine. It has an interactive interface with people who could adjust his access manner according to the requirements by himself. It differs from the system which needs each reader to indicate...
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