一种基于用户属性的搜索算法  

User-Attribute Based Search Algorithm

作　　者：余坦[1] 王益民[1] 

机构地区：[1]湖南大学软件学院,湖南长沙410082

出　　处：《计算机系统应用》2010年第7期201-203,共3页Computer Systems & Applications

摘　　要：如何提高搜索的准确度是搜索算法改进的一个重要方面。提出了一种基于用户模型的搜索模式相适度算法,首先定义了一系列搜索模式,在搜索模式中有与之匹配的用户模型和相应的信息排序策略。用户检索时,利用空间向量模型计算出与用户最匹配的搜索模式,然后根据所选搜索模式中定义的排序算法,将最切合用户信息需求的数据优先呈现给用户,将用户属性作为信息重排的依据,达到针对用户的具体情况提供个性化搜索服务的目的。实验证明,本算法在可接受的时间消耗下,极大地提高了信息搜索的准确度。How to improve the accuracy of the search algorithm is important for its search algorithm improvement. This paper researches an algorithm based on the user＇s model. First, it defines a group of Search-Models.Each Search-Model contains a User-Model and an information resequence tactic. When the user does a searching, Vector Space Model will be used to choose an optimal Search-Model, and then uses the information resequence tactic defined in the Search-Model to resequence the information found by user＇s input. Finall, it sends the information to the user making user attribute as the premise to filter and re-sequence the information. It provides accurate search service according to the user＇s specific conditions. Results show that the algorithm can improve the accuracy with an acceptable time consumption.

关 键 词：搜索模式 用户属性 个性化搜索 相适度算法 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]