基于模糊查找算法的网络资源查找优化

Network Resource Searching Optimization Based on the Fuzzy Search Algorithm

针对传统的网络资源查找中,没有考虑资源多样性对查找结果的影响,查询效率不高的问题,在传统的基于特征查询的基础上,引入模糊查找的思想,提出了一种模糊查找模型。通过有效地查找网络资源中的数据形态特征,引入相关的模糊规则,实现资源的快速查询、定位,又能为用户返回丰富的查询结果。实验证明,该算法在查询结果的召回率和查询成功率方面,明显优于单纯的基于特征模型的查找方式,它能有效改善网络的整体资源查找性能。

According to the traditional network resources in the search,did not consider the resources to find the influence of the diversity of the results,inquires the efficiency is not high question.In the traditional based on the basis of characteristic inquires,the introduction of fuzzy search thought,puts forward the fuzzy search model,through effective search the data in the network resources morphological characteristics,in the introduction of the related fuzzy rules,realize resource fast query,positioning,and for users to return to the rich search results.The experiment shows that the algorithm in the query results recall and inquires the successful rate,performance was better than simple based on feature model of search way,it can effectively improve the overall performance of network resource searching.