基于Multi—Agent的PIS模型的研究与应用

面对Internet丰富的信息资源，用户已经深刻地体会到采用通常的Web浏览的方式来获取所需信息已经越来越困难，经常是花费了很多时间却所获甚少，而个性化服务技术就是针对这个问题而提出的，它通过收集和分析用户信息来学习用户的兴趣和行为，从而实现主动推荐的目的，为不同用户提供不同的服务，以满足不同的需求。论文引入Multi—Agent技术，建立一个基于该技术下的个性化信息服务模型，并把该模型应用于数字化图书馆的设计与实践中。

PIS Model Research and Its Application Based on Multi-Agent

Facing rich information resources on Internet, the user has a profound experience that the usual way of a Web browser to ac- cess the required information has been increasingly difficult, with a lot of time spent but little information got. The personalized service tech- nology is proposed for this problem. In order to achieve the purpose of active recommendations, it is to learn the user＇s interests and behavior through the collection and analysis of user information, to supply respective seviees for different uses to meet different needs. This paper in- troduces the Multi-Agent technology, creates a personalized information service model based on the technology, and applies the model to the design of digital library practice.