用户建模2001User modeling 2001( 用户建模2001 )
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作者： Mathias Bauer 著
出 版 社： 湖南文艺出版社
出版时间： 2001-12-1字数：版次： 1页数： 313印刷时间： 2006/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540423256包装： 平装内容简介
The LNAI series reports state-of-the-art results in artificial intelligence re-search，development，and education，at a high level and in both printed and electronic form. Enjoying tight cooperation with the R＆D community，with numerous individuals，as well as with prestigious organizations and societies，LNAI has grown into the most comprehensive artificial intelligence research forum available.
The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing including interdisciplinary topics in a variety of
application fields. The type of material published traditionally includes
proceedings（published in time for the respective conference）
post-proceedings（consisting of thoroughly revised final full papers）
research monographs（which may be based on PhD work）
目录
Full Papers
Acquiring User Models from Multi-modal User Input
Harnessing Models of Users' Goals to Mediate Clarification Dialog in Spoken Language Systems
Modeling the Acquisition of English: An Intelligent CALL Approach (*) ..
Recognizing Time Pressure and Cognitive Load on the Basis of Speech An Experimental Study (*)
Learning Interaction Models
The Learning Shell: Automated Macro Construction
Learning Interaction Models in a Digital Library Service
User Models for Natural Language Interpretation, Processing and Generation
A User Modeling Approach to Determining System Initiative in Mixed-Initiative AI Systems
Collaborating with Focused and Unfocused Users under Imperfect Communication (*)
Improving User Modeling with Content-Based Techniques (*)
An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders (*)
Adaptive Interviewing for Acquiring User Preferences/ Product Customization
Acquiring User Preferences for Product Customization
Utility-Based Decision Tree Optimization: A Framework for Adaptive Interviewing (*)
Supporting User Collaboration through Adaptive Agents
User Modeling in I-Help: What, Why, When and How
An Adaptive User-Interface-Agent Modeling Communication Availability
Student Modeling
Cognitive Computer Tutors: Solving the Two-Sigma Problem
Applying Interactive Open Learner Models to Learning Technical Terminology (*)
Student and Instructor Models: Two Kinds of User Model and Their Interaction in an ITS Authoring Tool
Adaptive Information Filtering, Retrieval and Browsing
METIORE: A Personalized Information Retrieval System
Personalizing Delivered Information in a Software Reuse Environment
Automating Personal Categorization Using Artificial Neural Networks
Posters
User Modeling as an Aid for Human Web Assistants
Modeling the Interests of a News Service User
……
Doctoral Consortium
Invited Talks
