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The most important issue in personalized services is how to build a proper user model for individual user. Extracting user interests is an essential question, which attracts many researchers' investigation. But most of them don't consider enough the history of user behaviors. This paper proposes a method to extract user interests from user behavior history and document information, so called Behavior...
There are two important problems worth conducting research in the fields of personalized information services based on user model. One is how to get and describe user personal information, i.e. building user model, the other is how to organize the information resources, i.e. document clustering. It is difficult to find out the desired information without a proper clustering algorithm. Several new...
University examination timetabling problem is a complicated, multi-constraint combinatorial optimization problem. The current grouping genetic algorithm could get a better optimistic solution. Although the block encoding technique was applied in, the probabilities of crossover and mutation operation were still based on simple genetic algorithm. So the universality of this algorithm is not very well...
Walking stability is the main reason for leading to falls for people, especially for elders. But there are much more features related with walking so that we cannot understand which features are more important than others to contribute the walking stability. Almost all of researches focused on some specific features but didn't present any reasons for that. Therefore, the Dynamic Time Warping (DTW)...
In this paper, a method of time-related class association rule mining is proposed based on genetic network programming (GNP) combined with estimation of distribution algorithms (EDAs). There are two important points in this paper: the first important point is to combine GNP with estimation of distribution algorithms which are a novel evolution strategy. The second important point is that three kinds...
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