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Based on the formal concept analysis, combining the rough set and semantic ontology, this paper proposes a formal concept similarity measurement by improving the original Tversky similarity model. The method used the hierarchical information of concept lattice in the lattice structure and its own semantic meaning to measure the similarity of from the structure information of the concepts and semantic...
Personalized search is more suitable to return search results for user based on different user's search history and improve the search efficiency and user's retrieval experience. In this paper, we put forward a search results ranking method that uses user interest model based on a semantic ontology WordNet, so that it returns the search results in accordance with user interestingness. There into,...
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