Inside the adaptation decision-taking engines: Monitoring adaptabilities by learning

Romulus Grigoraş; Pascal Dayre; Vincent Charvillat; Hadj Batatia

Inside the adaptation decision-taking engines: Monitoring adaptabilities by learning

Romulus Grigoraş, Pascal Dayre, Vincent Charvillat, Hadj Batatia

School of Mathematical & Computer Sciences

Research output: Contribution to conference › Paper › peer-review

Abstract

Both user modeling and multimedia adaptation communities have been actively carrying out research on adaptation, but the design of adaptation decision-taking engines is still an open issue for each application. In this paper we consider the decision-taking engines by using machine learning methods and propose an experimental adaptation platform. We also briefly describe actual implementations of this platform with 3 case-studies: supervised learning for teaching systems, reinforcement learning for multimedia streaming and unsupervised learning for adaptive hypermedia navigation support.

Original language	English
Pages	194-198
Number of pages	5
Publication status	Published - 2005
Event	11th Annual Scientific Conference on Web Technology, New Media Communications and Telematics Theory Methods, Tools and Applications 2005 - Toulouse, France Duration: 11 Apr 2005 → 13 Apr 2005

Conference

Conference	11th Annual Scientific Conference on Web Technology, New Media Communications and Telematics Theory Methods, Tools and Applications 2005
Abbreviated title	EUROMEDIA 2005
Country/Territory	France
City	Toulouse
Period	11/04/05 → 13/04/05

Keywords

Dynamic adaptation
Hypermedia
Machine learning
Multimedia adaptation
User modeling

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications

Cite this

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note = "11th Annual Scientific Conference on Web Technology, New Media Communications and Telematics Theory Methods, Tools and Applications 2005, EUROMEDIA 2005 ; Conference date: 11-04-2005 Through 13-04-2005",

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Inside the adaptation decision-taking engines: Monitoring adaptabilities by learning. / Grigoraş, Romulus; Dayre, Pascal; Charvillat, Vincent et al.
2005. 194-198 Paper presented at 11th Annual Scientific Conference on Web Technology, New Media Communications and Telematics Theory Methods, Tools and Applications 2005, Toulouse, France.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Inside the adaptation decision-taking engines

T2 - 11th Annual Scientific Conference on Web Technology, New Media Communications and Telematics Theory Methods, Tools and Applications 2005

AU - Grigoraş, Romulus

AU - Dayre, Pascal

AU - Charvillat, Vincent

AU - Batatia, Hadj

PY - 2005

Y1 - 2005

N2 - Both user modeling and multimedia adaptation communities have been actively carrying out research on adaptation, but the design of adaptation decision-taking engines is still an open issue for each application. In this paper we consider the decision-taking engines by using machine learning methods and propose an experimental adaptation platform. We also briefly describe actual implementations of this platform with 3 case-studies: supervised learning for teaching systems, reinforcement learning for multimedia streaming and unsupervised learning for adaptive hypermedia navigation support.

AB - Both user modeling and multimedia adaptation communities have been actively carrying out research on adaptation, but the design of adaptation decision-taking engines is still an open issue for each application. In this paper we consider the decision-taking engines by using machine learning methods and propose an experimental adaptation platform. We also briefly describe actual implementations of this platform with 3 case-studies: supervised learning for teaching systems, reinforcement learning for multimedia streaming and unsupervised learning for adaptive hypermedia navigation support.

KW - Dynamic adaptation

KW - Hypermedia

KW - Machine learning

KW - Multimedia adaptation

KW - User modeling

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M3 - Paper

AN - SCOPUS:84898908184

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Y2 - 11 April 2005 through 13 April 2005

ER -

Inside the adaptation decision-taking engines: Monitoring adaptabilities by learning

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this