University of Illinois Urbana-Champaign

User Models for Information Systems: Prospects and Problems

Borgman, Christine L.; Plute, Yolanda I.

Permalink

https://hdl.handle.net/2142/1298

Description

Title
User Models for Information Systems: Prospects and Problems
Author(s)
  • Borgman, Christine L.
  • Plute, Yolanda I.
Issue Date
1990
Keyword(s)
  • Libraries --Automation
  • Expert systems (Computer science)
  • Artificial intelligence
  • Library science --Data processing
Abstract
Expert systems attempt to model multiple aspects of human-computer interaction, including the reasoning of the human expert, the knowledge base, and characteristics and goals of the user. This paper focuses on models of the human user that are held by the system and utilized in interaction, with particular attention to information retrieval applications. User models may be classified along several dimensions, including static vs. dynamic, stated vs. inferred, and short-term vs. longterm models. The choice of the type of model will depend on a number of factors, including frequency of use, the relationship between the user and the system, the scope of the system, and the diversity of the user population. User models are most effective for well-defined tasks, domains, and user characteristics and goals. These user-system aspects tend not to be well defined in most information retrieval applications.
Publisher
Graduate School of Library and Information Science. University of Illinois at Urbana-Champaign.
Series/Report Name or Number
Clinic on Library Applications of Data Processing (27th : 1990)
ISSN
0069-4789
Type of Resource
text
Language
en
Permalink
http://hdl.handle.net/2142/1298
Copyright and License Information
Copyright owned by Board of Trustees of the University of Illinois. 1990.

Owning Collections

1990: Artificial intelligence and expert systems : will they change the library? PRIMARY
27th Clinic on Library Applications of Data Processing. Edited by F.W. Lancaster and Linda C. Smith