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At present, the FAQ (frequently-asked question) answering system cannot understand the user's questions at the concept level, so its efficiency needs to be improved. In this paper, a model of FAQ answering system based on concept is proposed. The system model consists of three components, which are concept-based preprocessing, extraction of question-answer pairs, and concept-based matching of sentences...
Characteristics in the user model can be acquired and maintained in several ways, namely by means of implicit or explicit feedback, observation of user's actions, log analysis, etc. We use analysis of the content that is presented to a user. We assume that comparing documents and analyzing their common and different aspects can lead to information about user's interests. We work in the Semantic Web...
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