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Personalized information service agents have emerged in the recent years to help users to cope with the increasing amount of information available on the Internet. The effectiveness of agents depends mainly on profile completeness and accuracy. In the existing agents, although the performance of these systems improves after learning a user profile, it is(More)
In intelligent e-Learning, personalized search support becomes even more and more important now. This paper shows how to achieve the personalized search in e-learning environments. We present a semantic-based search method for personalized e- Learning. In the method, learning resources ontology and learner ontology are designed for semantic analysis and(More)
The goal of user modeling is to provide personalized services based on user’s interests and preferences, thus allowing for more efficient information access. Frequently user’s interests drift with time. The ability to adapt fast to the current user's interests is an important feature of user model. In this paper, based on behavioral(More)
With the dramatic increase of information on Web, text filtering is a key technology in content processing. Now more and more researchers know that filter must be based on the meaning of the word but not on a specific sequence of signs, so they pay more and more attention on filtering method based on semantics recently. However, the usability of these(More)
The title compound, [Cu(4)I(4)(C(9)H(13)N)(4)], has a distorted cubane-like [Cu(4)I(4)] core structure. Each Cu(I) atom is tetra-hedrally coordinated by three I atoms and one N atom of an benzyl-dimethyl-amine ligand. Each I atom acts as a μ(3)-ligand, linking three Cu(I) atoms. The Cu-I bond distances vary between 2.6328 (7) and 2.7121 (6) Å, while the(More)
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