Automatic Construction of Personalized Customer Interfaces
Full Text:
IUI06.pdf 
Interface personalization can improve a user's performance and subjective impression of interface quality and responsiveness. Personalization is difficult to implement as it requires an accurate model of a user's intentions and a formal model of how an interface meets a user's need. We present a novel model for tractable inference of consumer intentions in the context of grocery shopping. The model makes unique use of a priori temporal relations to simplify inference. We then present a simple interface generation framework that was inspired by viewing user interface interaction as a channel coding problem. The resulting model defines a simplified but clear notion of a user's utility for an interface. We demonstrate the effectiveness of the research prototype on some simple data, and explain how the model can be augmented with richer user modeling to create a deployable application.
Citation
B. Price,
R. Greiner,
G. Haeubl,
A. Flatt.
"Automatic Construction of Personalized Customer Interfaces".
International Conference on Intelligent User Interfaces (IUI), Sydney, Australia, January 2006.
| Keywords: |
PCI, personalized customer interface, probabilistic model, interface, machine learning |
| Category: |
In Conference |
BibTeX
@incollection{Price+al:IUI06,
author = {Bob Price and Russ Greiner and Gerald Haeubl and Alden Flatt},
title = {Automatic Construction of Personalized Customer Interfaces},
booktitle = {International Conference on Intelligent User Interfaces (IUI)},
year = 2006,
}Last Updated: July 15, 2007
Submitted by Russ Greiner 
