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高效可靠的数字化信息服务检索方法是数字化信息服务广泛应用的关键。传统的数字化信息服务检索方法采用关键字匹配度顺序检索的方法,由于检索对象的信息量巨大,检索效率低。提出一种基于多维曲径选择进化的数字化信息服务检索方法,根据检索标准,将信息分为多个维度,然后对多个维度进行曲径选择进化,提取信息的深层次特征,根据深层次特征,对数字化信息服务进行检索,提高系统检索的效率和可靠性。采用检索效率和检索正确率作为衡量标准,基于100组信息进行实际的分析,结果显示,基于多维曲径选择进化的数字化信息服务检索方法可以将检索效率和检索正确率提高39.3%和39.9%,具有很好的应用价值。
Efficient and reliable digital information service retrieval method is the key to the extensive application of digital information service. The traditional digital information service retrieval method uses the keyword matching degree sequential retrieval method. Because of the huge amount of information of the retrieval object, the retrieval efficiency is low. This paper proposes a retrieval method of digital information service based on multidimensional kyodal evolution. According to the retrieval criteria, the information is divided into several dimensions, and then the multi-dimension is chosen to evolve and select the deep features of the information. According to the deep features, Retrieve digital information services to improve the efficiency and reliability of system retrieval. Using the retrieval efficiency and retrieval accuracy as the measurement standard, the actual analysis based on 100 sets of information shows that the retrieval method based on multidimensional mean curvature evolution can improve the retrieval efficiency and retrieval accuracy by 39.3% and 39.9%, respectively. Has good application value.