In order to avoid high costs of manpower,learning the features and patterns of book categories from a small number of sampleshas become a brand-new problem in library science.This paper takes the books as our research target,uses the large language model(ChatGPT)to represent the texts and images,builds a large language model based prompt learning model for recognizing and classifying books.In view of the defects of the current method requiring large-scale data samples and training time,this paper proposes a new paradigm of"inquiry large language model-prompt-generation".The model was verified experimentally on the dataset of 114 823 books from Guangzhou Library and Zhengzhou Library,and the best results were obtained in terms of precision,recall and F1.
万方数据
维普
