This paper aims to propose and validate an optimized patent retrieval strategy by deeply analyzing the similarity coefficient and concentration index of patent classification numbers,with the hope of enhancing the efficiency and accuracy of patent retrieval. The study first clarifies the crucial role of classification numbers in patent retrieval,and then elaborates in detail on the concepts,calculation methods,and applications of classification number similarity coefficients and concentration indices in wide patent retrieval scenarios. Through empirical analysis and validation experiments,the results show that adopting this strategy can improve the efficiency and accuracy of patent retrieval,especially in fields with highly concentrated technological classifications. Additionally,the study reveals the limitations of the current strategy and proposes directions for future improvements. Overall,this paper provides practical guidance and strategic suggestions for the retrieval work of patent searcher,which is of certain significance for enhancing examination efficiency and quality of patent retrieval.
关键词
专利检索/分类号相似系数/分类号集中指数/检索策略
Key words
patent retrieval/classification number similarity coefficient/classification number concentration index/retrieval strategy
维普
万方数据