Abstract
The dynamic nature of information resources as well as the continuous changes in the information demands of the users has made it very difficult to provide effective methods for data mining and document ranking. This paper proposes an efficient particle swarm chaos optimization mining algorithm based on chaos optimization and particle swarm optimization by using feedback model of user to provide a listing of best-matching webpages for user. The proposed algorithm starts with an initial population of many particles moving around in aD-dimensional search space where each particle vector corresponds to a potential solution of the underlying problem, which is formed by subsets of webpages. Experimental results show that our approach significantly outperforms other algorithms in the aspects of response time, execution time, precision, and recall.
Highlights
With the rapid development in Internet technology, the number of webpages and the volume of information content have led to an explosion in the amount of available information
This paper focuses on feedback model of user by using chaos optimization and particle swarm optimization to help user find useful information as fast as possible
To realize the goal of searching useful information effectively and efficiently, we have developed an efficient particle swarm chaos optimization mining algorithm (PSCOMA) based on chaos optimization and particle swarm optimization by using feedback model of user to provide a list of best-matching webpages for user
Summary
With the rapid development in Internet technology, the number of webpages and the volume of information content have led to an explosion in the amount of available information. This paper focuses on feedback model of user by using chaos optimization and particle swarm optimization to help user find useful information as fast as possible. The dynamic feature of web information as well as the continuous changes in the information demands of the users has made it very difficult to provide efficient and effective approaches for data mining techniques. To realize the goal of searching useful information effectively and efficiently, we have developed an efficient particle swarm chaos optimization mining algorithm (PSCOMA) based on chaos optimization and particle swarm optimization by using feedback model of user to provide a list of best-matching webpages for user.
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