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A knowledge-based recommendation model utilizing Formal Concept Analysis and association

In this paper, we proposed a novel recommendation model based the synergistic use of knowledge from repository which includes users behavior and items property. This model defined user profile and item profile, and constructed the candidate recommendation set by using Formal Concept Analysis and extended inference. We attempted to apply FCA mapping the relationship between user's preference and item feature, and conducted a case to illustrate the proposed model. Finally, we summarized the advantage of this model and discussed the recommendation strategy for different situation.