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The successful design of collaborative filtering system for recommending depends hardly on finding the nearest neighbors. In this paper, we provide a new collaborative filtering method based on concept lattices to generate more precise recommendation. Firstly, we analyze the log files and construct a formal context which is then used to build a concept lattice. Based on the concept lattice, we propose...
Aiming at deficiencies of existing knowledge resources management systems, we designed a new collaborative knowledge construction system for massive knowledge resources. By collaborative knowledge building in the following three phases: acquisition of knowledge factors, generation of the local extended topic maps and integration of global extended topic map, we realized a conjunction of concept level...
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