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Prioritizing web links based on web usage and content data

Web has grown enormously and is still growing rapidly day by day. With this huge amount of information in the Web it has become difficult for the search engines to retrieve the required and relevant information efficiently. Web mining techniques, using different approaches, have contributed a lot in providing the relevant information to the user query. This paper introduces a new method for prioritizing the Web pages based on Web usage and Web content data. The proposed method uses Genetic Algorithm for providing good quality Web pages as a result of user query. Prioritization of Web pages falls in the category of NP-complete problems. Genetic algorithm is used to deal with this. The method includes the parameters from both Web usage and Web content mining. Experimental results show that the proposed approach performed better than the existing approach.