基于关联规则模式的数字图书馆智能检索研究

Study on the Intelligent Retrieval in Digital Library Based on the Patterns of Association Rules

为了提高数字图书馆资源检索的有效性与高效性,提出一种基于关联规则的数字图书馆智能检索方法,该方法以用户的输入查询词为数据输入,并以输入作为项目集,采用贝叶斯网络构造检索模型,对输入项目集进行关联规则运算,最后获得查询的最终结果。采用贝叶斯网络构造数字图书馆的智能检索模型在很大程度上提高了资源检索的智能性及高效性,具有广泛的应用价值。

In order to improve the effectiveness and efficiency of digital library resources retrieval, an intelligent retrieval method for digital library is proposed based on association rules. The method takes the user＇s input query words as the data input and takes the input as the project set, uses Bayesian network to construct structure retrieval model, carries out associated rules operation of the input item sets, and finally gets the final results of the query. Using Bayesian network to construct digital library intelligent retrieval model could greatly improve the smartness and efficiency of resource retrieval. It has application value a wide range.