Paper Info
Title
A bayesian approach to modelling users' information display preferences
Abstract
This paper describes the process by which we constructed a user model for ERST – an External Representation Selection Tutor – which recommends external representations (ERs) for particular database query task types based upon individual preferences, in order to enhance ER reasoning performance. The user model is based on experimental studies which examined the effect of background knowledge of ERs upon performance and preferences over different types of tasks.
Year
DOI
Venue
2005
10.1007/11527886_29
User Modeling
Keywords
Field
DocType
modelling user,individual preference,external representation,experimental study,different type,er reasoning performance,external representation selection,information display preference,particular database query task,user model,bayesian approach
Data mining,TUTOR,Database query,Information retrieval,Computer science,User modeling,Information display,User interface,Bayesian probability
Conference
Volume
ISSN
ISBN
3538
0302-9743
3-540-27885-0
Citations 
PageRank 
References 
5
0.58
3
Authors
2
Name
Order
Citations
PageRank
Beate Grawemeyer118417.60
Richard Cox261.31