Algorithms for clustering data
Algorithms for clustering data
C4.5: programs for machine learning
C4.5: programs for machine learning
Web user behaviors prediction system using trend similarity
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
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In recent years, due to the rapid growth of Internet usage, the problem of how to avoid inappropriate Internet contents accessing becomes more and more important. To solve the problem, a Collaborative Rating System [3, 4] based upon PICS protocol has been proposed. However, since the users usually would like to consult the opinions of the user group with similar rating tendency rather than the common opinions from the majority, it means the opinion of second majority with sufficient number of voters should also be considered. So does third majority, and so on. In order to provide a characterized rating service, a Characterized Rating Recommend System is designed to provide more precise and proper rating service for each user. Also, in this work, a questionnaire is designed to get users' opinions, and some experimental results show that the system can provide acceptable rating service.