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| 一个智能用户接口Agent设计与实现 |
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李俊1,2, 张灵玲1,2, 周文辉1,2, 潘金贵1,2
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1.南京大学计算机软件新技术国家重点实验室,南京,210093;2.南京大学多媒体计算机研究所,南京,210093
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| 摘要: |
| 文章主要介绍了DOLTRI-Agent(distance and open learning training resource information retrieval agent)系统中的用户接口Agent(NanDa user interface agent, 简称NDUIA)的设计和实现的关键技术.此系统扩展了memory-based reasoning技术,采用了多个记忆模型和多个分析模型,通过对不同用户使用经验的分析产生该用户专用的用户兴趣模型;同时根据用户兴趣模型和特定场景的使用经验共同作用来提供主动的智能服务,包括信息导引、搜索结果的预处理、智能即时帮助和分类信息的修改等,从而实现软件与人的协作. |
| 关键词: 用户接口Agent,机器学习,用户模型,信息导引,相关性反馈. |
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| 基金项目:本文研究得到日本邮政省通信放送机构（TAO）国际研究基金资助. |
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| The Design and Implementation of an Interface Agent |
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LI Jun,ZHANG Ling-ling,ZHOU Wen-hui,PAN Jin-gui
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| Abstract: |
| This paper concentrates on the important techniques of design and implementation of Interface Agent (NanDa User Interface Agent, NDUIA) in DOLTRI-Agent (distance and open learning training resource information retrieval agent). This system extends the memory-based reasoning technique, using multiple memory models and multiple analysis models, and the authors can generate a specific interest's model for each user by analyzing his/her using experience. At the same time, through the combination of user interests model and using experience in special scene, interface agent can provide some active intelligent services, such as information guidance, preprocess of the searching results, automatic modification of classification information, intelligent and instant help, etc. In this way, the authors achieve collaboration between software and its users. |
| Key words: Interface agent, machine learning, memory-based reasoning, user model, information guidance, relevance feedback. |
