Gulliver Beans: A Tool for Fine Tuning Data Delivery in E-Commerce Applications

Gerhard Austaller; Andreas Hartl; Gertrude Kappel; Elisabeth Kapsammer; Christoph Lechleitner; Max Mühlhäuser; Siegfried Reich; Rimbert Rudisch

Gulliver Beans: A Tool for Fine Tuning Data Delivery in E-Commerce Applications

Gerhard Austaller, Andreas Hartl, Gertrude Kappel, Elisabeth Kapsammer, Christoph Lechleitner, Max Mühlhäuser, Siegfried Reich, Rimbert Rudisch

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings

Abstract

The ever increasing popularity of the Internet results in a growing number of users being connected to the World Wide Web with new types of devices ranging from Personal Digital Assistants (PDAs) to mobile phones. This clearly offers new possibilities for E-Commerce applications. However, existing applications have not been designed with the benefits and limitations of these new types of devices in mind. We present an approach which strictly separates between content, presentation and behavior in order to be able to dynamically generate adapted and individualized content. Besides device information our prototype system takes other context data into account including location and user preferences. Our approach allows us to semi-automatically produce content which is not only optimized for the target platform but also designed for the individual users and their specific needs.

Original language	English
Title of host publication	Proceedings of EMISA 2000 - Informationssystem für E-Commerce
Pages	29-40
Number of pages	12
Publication status	Published - Jul 2000

Fields of science

101004 Biomathematics
101027 Dynamical systems
101028 Mathematical modelling
101029 Mathematical statistics
101014 Numerical mathematics
101015 Operations research
101016 Optimisation
101017 Game theory
101018 Statistics
101019 Stochastics
101024 Probability theory
101026 Time series analysis
102 Computer Sciences
102001 Artificial intelligence
102003 Image processing
102004 Bioinformatics
102013 Human-computer interaction
102018 Artificial neural networks
102019 Machine learning
103029 Statistical physics
106005 Bioinformatics
106007 Biostatistics
202017 Embedded systems
202035 Robotics
202036 Sensor systems
202037 Signal processing
305901 Computer-aided diagnosis and therapy
305905 Medical informatics
305907 Medical statistics
102032 Computational intelligence
102033 Data mining
101031 Approximation theory
102002 Augmented reality
102006 Computer supported cooperative work (CSCW)
102015 Information systems
102021 Pervasive computing
102025 Distributed systems
102027 Web engineering
202038 Telecommunications

Cite this

@inproceedings{6c8d7beeae504e819e2558ae5e8cfcf6,

title = "Gulliver Beans: A Tool for Fine Tuning Data Delivery in E-Commerce Applications",

abstract = "The ever increasing popularity of the Internet results in a growing number of users being connected to the World Wide Web with new types of devices ranging from Personal Digital Assistants (PDAs) to mobile phones. This clearly offers new possibilities for E-Commerce applications. However, existing applications have not been designed with the benefits and limitations of these new types of devices in mind. We present an approach which strictly separates between content, presentation and behavior in order to be able to dynamically generate adapted and individualized content. Besides device information our prototype system takes other context data into account including location and user preferences. Our approach allows us to semi-automatically produce content which is not only optimized for the target platform but also designed for the individual users and their specific needs.",

author = "Gerhard Austaller and Andreas Hartl and Gertrude Kappel and Elisabeth Kapsammer and Christoph Lechleitner and Max M{\"u}hlh{\"a}user and Siegfried Reich and Rimbert Rudisch",

year = "2000",

month = jul,

language = "English",

isbn = "3-85487-1945",

pages = "29--40",

booktitle = "Proceedings of EMISA 2000 - Informationssystem f{\"u}r E-Commerce",

}

TY - GEN

T1 - Gulliver Beans: A Tool for Fine Tuning Data Delivery in E-Commerce Applications

AU - Austaller, Gerhard

AU - Hartl, Andreas

AU - Kappel, Gertrude

AU - Kapsammer, Elisabeth

AU - Lechleitner, Christoph

AU - Mühlhäuser, Max

AU - Reich, Siegfried

AU - Rudisch, Rimbert

PY - 2000/7

Y1 - 2000/7

N2 - The ever increasing popularity of the Internet results in a growing number of users being connected to the World Wide Web with new types of devices ranging from Personal Digital Assistants (PDAs) to mobile phones. This clearly offers new possibilities for E-Commerce applications. However, existing applications have not been designed with the benefits and limitations of these new types of devices in mind. We present an approach which strictly separates between content, presentation and behavior in order to be able to dynamically generate adapted and individualized content. Besides device information our prototype system takes other context data into account including location and user preferences. Our approach allows us to semi-automatically produce content which is not only optimized for the target platform but also designed for the individual users and their specific needs.

AB - The ever increasing popularity of the Internet results in a growing number of users being connected to the World Wide Web with new types of devices ranging from Personal Digital Assistants (PDAs) to mobile phones. This clearly offers new possibilities for E-Commerce applications. However, existing applications have not been designed with the benefits and limitations of these new types of devices in mind. We present an approach which strictly separates between content, presentation and behavior in order to be able to dynamically generate adapted and individualized content. Besides device information our prototype system takes other context data into account including location and user preferences. Our approach allows us to semi-automatically produce content which is not only optimized for the target platform but also designed for the individual users and their specific needs.

M3 - Conference proceedings

SN - 3-85487-1945

SP - 29

EP - 40

BT - Proceedings of EMISA 2000 - Informationssystem für E-Commerce

ER -