Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

11

UM
2005
Springer

favoriteEmaildiscussreport

131views Programming Languages» more UM 2005»

A Bayesian Approach to Modelling Users' Information Display Preferences

13 years 9 months ago

A Bayesian Approach to Modelling Users' Information Display Preferences

Download www.informatics.sussex.ac.uk

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.

Beate Grawemeyer, Richard Cox

Real-time Traffic

External Representation Selection | External Representations | UM 2005 | User Model |

claim paper

Related Content

» LocationBased Recommendation System Using Bayesian Users Preference Model in Mobile Device...

» Learning to predict information needs contextaware display as a cognitive aid and an asses...

» A Unifying Approach for Interface Adaptation

» A Bayesian Approach toward Active Learning for Collaborative Filtering

» Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model

» Whos asking for help a Bayesian approach to intelligent assistance

» Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model

» Matchbox large scale online bayesian recommendations

» The Effects of Users Background Diagram Knowledge and Task Characteristics upon Informatio...

Post Info
More Details (n/a)

Added	28 Jun 2010
Updated	28 Jun 2010
Type	Conference
Year	2005
Where	UM
Authors	Beate Grawemeyer, Richard Cox

Comments (0)