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Text Recommendation Based on Generalization Level of Objects

A reader sometimes requires a text containing more specific or general content based on current understanding on a certain field or topic. Traditional text recommendation systems barely meet the requirement because they recommend texts according to the relevance of semantics or topics. This paper proposes a text recommendation method that can provide texts with more specific or general content based on a user's currentunderstanding. Experiments show that the method is effective and useful in the kind of text recommendation.