基于Agent的个性化搜索模型

A Model of Agent-based Individuation Search

该文针对传统搜索引擎单纯面向信息过滤的缺点 ,引入Agent技术 ,提出了第 2层信息服务模型 ,其中采用了基于用户个性的信息再过滤方法。第 2层信息服务模型在第 1层信息服务 (即传统的搜索引擎 )之上构建用户兴趣模板和分组模型 ,将用户需求定义为显性需求和隐性需求并给出了相关算法。依据此定义获得相应信息服务于用户 ,增强了信息搜索能力。

The design of traditional search engine is simply information oriented.It takes no consideration of the characters of users. This paper proposes a second layer of information service model that filters information based on the users' characters. Based on the first layer of information service (traditional search engine), the second layer of information service model generates templates of user characters and groups of users. The corresponding algorithm is presented to define 'explicit requirement' and 'implicit requirement'. According to the definition, users' information can be obtained to enhance information research capacity.