Web Documents Prioritization Using Iterative Improvement

The amount of information accumulating on World Wide Web is growing in size exponentially. This led to difficulty in accessing the relevant information as it becomes tough for a user to access his required information in minimum amount of time. As a result of single query placed by user in search engine a large number of search results appear in front of him and to dig out the most relevant web link becomes a cumbersome task for user which can lead to decrease in trust for search engine. This paper proposes an approach for web structure and web usage mining by using iterative improvement algorithm. Iterative improvement is a randomized algorithm which is used for solving combinatorial optimization problem. This technique helps in selecting top T web pages and prioritizing them in relevance order. Experimental evaluation has been done which shows significant improvement in performance. The parameters used are access frequency, time duration, no of visitors, hubs and authorities. They cover the area of both web structure and web usage mining.