A user profiling component with the aid of user ontologies

In Learning – Teaching – Knowledge – Adaptivity (LLWA), University of Karlsruhe (2003). Karlsruhe, Germany: (2003)

Barry Smith
State University of New York, Buffalo
Abstract: What follows is a contribution to the field of user modeling for adaptive teaching and learning programs especially in the medical field. The paper outlines existing approaches to the problem of extracting user information in a form that can be exploited by adaptive software. We focus initially on the so-called stereotyping method, which allocates users into classes adaptively, reflecting characteristics such as physical data, social background, and computer experience. The user classifications of the stereotyping method are however ad hoc and unprincipled, and they can be exploited by the adaptive system only after a large number of trials by various kinds of users. We argue that the remedy is to create a database of user ontologies from which readymade taxonomies can be derived in such a way as to enable associated software to support a variety of different types of users.
Keywords adaptivity  profiling  user profiling
Categories (categorize this paper)
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

Our Archive
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Rule-Based XML.Go Eguchi & Laurence L. Leff - 2002 - Artificial Intelligence and Law 10 (4):283-294.


Added to PP index

Total views
40 ( #224,817 of 2,285,998 )

Recent downloads (6 months)
19 ( #45,212 of 2,285,998 )

How can I increase my downloads?


My notes

Sign in to use this feature