A bayesian approach to modelling users' information display preferences

Beate Grawemeyer, Richard Cox

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationUser Modeling 2005 - 10th International Conference, UM 2005, Proceedings
EditorsLiliana Ardissono, Paul Brna, Antonija Mitrovic
PublisherSpringer-Verlag Italia
Pages225-230
Number of pages6
ISBN (Electronic)9783540278856
ISBN (Print)3540278850, 9783540278856
DOIs
Publication statusPublished - 1 Jan 2005
Externally publishedYes
Event10th International Conference on User Modeling 2005, UM 2005 - Edinburgh, United Kingdom
Duration: 24 Jul 200529 Jul 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3538 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on User Modeling 2005, UM 2005
CountryUnited Kingdom
CityEdinburgh
Period24/07/0529/07/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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