Intelligent Retrieval Method for Library Literature Resources Based on Semantic Feature Mining
In order to improve the accuracy of library literature resource retrieval and make the retrieval results compatible with index standards and user needs,this paper proposes an intelligent retrieval method for library literature resources based on semantic feature mining.By constructing the metadata feature space of the library,the quantification results of the feature space and the clustering range of feature information are calculated;encoding reconstruction and distribution collection of library literature resource information,extracting retrieval features of library literature resources;calculate feature similarity scores and extract explicit keywords;using weighted vector combination control method to optimize library literature retrieval and achieve intelligent retrieval output of literature resources.The experimental results show that the retrieval results obtained using the proposed method have an adaptation rate of over 98％,and the highest retrieval accuracy reaches 0.97,indicating good practical application effects.
万方数据
维普
