作　　者： ; ;

机构地区： 广东培正学院市场学系

出　　处： 《现代图书情报技术》 2012年第7期54-58,共5页

摘　　要： 针对现有图书检索中忽略读者信息的不足,提出基于混合动力检索思想的新的检索模型。该模型根据图书的检索频率将书籍分为"冷、热"书籍两类,使图书检索从一个单向检索变为双向检索,再结合读者的特点使用Apriori和K-means算法建立数学模型,为读者检索最合适的书籍提供方便。提出模型具体的实现步骤并进行实验,将新旧检索结果进行对比评测。实验证明,新模型的检索准确性和效率有明显的提升。 Considering the ignorance of readers＇ information in the book retrieval of library, the paper proposes the hy- brid retrieval ideas based on hybrid thinking and creates a new retrieval model. According to the retrieval frequency of the books, the new retrieval model divides the books into ＂cold or hot＂ categories, which turns the one -way retrieval into two - way retrieval. Combined with the characteristics of the readers and the use of Apriori and K - means algorithm, it builds a mathematical model and provides readers with the most appropriate books. In accordance with the new ideas, ex- perimental data is used in the comparative evaluation of new search and the old search, and the experiments show that the retrieval accuracy and efficiency of the new models are improved significantly.

关 键 词： 冷热 图书 图书检索 混合动力

领　　域： [经济管理]