经典信息检索模型的分类比较

Classification of Classic Information Retrieval Model

信息检索的模型,主要是用于检索和排序的计算用户查询请求和信息的匹配程度的问题。目前已有的检索模型有布尔模型、向量模型、概率模型以及以上三个经典模型的变形模型。通过对经典模型进行分析比较,以便在设计具体的检索系统时,根据检索对象的特点,采取合适的检索模型,提高检索效率。

Information retrieval model, is primarily used to retrieve and rank of a query and information that matches the problem. At present there are the boolean model, the vector space model, the probabilistic model and distorted model of the above three classic models. By analysis of the classical model, in order to adopt suitable model to improve the retrieval efficiency when designing specific retrieval system.