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.
出处
《计算机系统应用》
2010年第7期201-203,共3页
Computer Systems & Applications
关键词
搜索模式
用户属性
个性化搜索
相适度算法
search-model
user attribute
personalized search
compatibility algorithm
