Abstract

Chinese classical literature and art exhibition activities have a special role to play in improving the humanities of students. Introducing elements of classical literature into cultural activities can effectively complement the current humanities education in universities. To improve the efficiency and intelligence of classical literature and art exhibition activities, this paper proposes an interactive modelling-oriented method for recommending classical literature and art exhibition activities in response to the characteristics of existing art exhibition event management systems (AEEMS) in supporting process modelling and the interactive modelling needs of audiences. By using exhibition event segments as the recommended reference model, the process includes steps such as data preprocessing and calculating the matching degree and can recommend reasonable classical literature art exhibition events based on the art exhibition model under construction and the modelling needs of the audience. Experimental data are obtained by using a questionnaire survey method, and the experimental results show that it outperforms existing methods in terms of evaluation indicators such as accuracy, recall, and F 1 , indicating the effectiveness of the proposed method.

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