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Received:July 24, 2009 Revised:April 02, 2010
Received:July 24, 2009 Revised:April 02, 2010
中文摘要: 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。
Abstract: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.
文章编号: 中图分类号: 文献标志码:
基金项目:
Author Name | Affiliation |
YU Tan | 湖南大学 软件学院 湖南 长沙 410082 |
WANG Yi-Min |
Author Name | Affiliation |
YU Tan | 湖南大学 软件学院 湖南 长沙 410082 |
WANG Yi-Min |
引用文本:
余坦,王益民.一种基于用户属性的搜索算法①.计算机系统应用,2010,19(7):201-203
YU Tan,WANG Yi-Min.User-Attribute Based Search Algorithm.COMPUTER SYSTEMS APPLICATIONS,2010,19(7):201-203
余坦,王益民.一种基于用户属性的搜索算法①.计算机系统应用,2010,19(7):201-203
YU Tan,WANG Yi-Min.User-Attribute Based Search Algorithm.COMPUTER SYSTEMS APPLICATIONS,2010,19(7):201-203