research-article

Adaptive user preference modeling and its application to in-flight entertainment

Authors:

Hao Liu,

Ben Salem,

Matthias RauterbergAuthors Info & Claims

DIMEA '08: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts

Pages 289 - 294

https://doi.org/10.1145/1413634.1413688

Published: 10 September 2008 Publication History

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Abstract

This paper first presents an adaptive user preference model for personalized service delivery systems. In this model, user preference is modeled by a two-layer tree with dynamic changeable structures. The top layer of the tree is used for modeling user's long term service preference. Each node represents user's long term evolving commitment to certain categories of service. The lower layer of the tree is used for modeling user spontaneous service requirement which depends on context of use. Each node relates one context of use to one or more desired service requirements. The tree is dynamically constructed by the formal relation definitions among nodes. The advantage of this structure is three folds: (1) it can not only model the user's long term but also spontaneous preference items. More over, the relations between all preference items are formally defined; (2) if the number of preference items is many, it is more efficient and easier to find the right preference items; (3) if the user desired service has been removed, the system can utilize the personalized hierarchy service structure of the preference tree to calculate and recommend similar services. After the introduction of the user preference modeling, an algorithm of how to build it is presented. Finally, we customized the user preference for personalized in-flight entertainment recommendation to validate its features.

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Cited By

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Ma ZSilver DShakshuki E(2010)User profile management: reference model and web services implementationInternational Journal of Web and Grid Services10.1504/IJWGS.2010.0321896:1(1-34)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1504/IJWGS.2010.032189
Liu HTan CHu JRauterberg M(2010)Towards high level of presence: Combining static infrastructure with dynamic services2010 International Conference on Electronics and Information Engineering10.1109/ICEIE.2010.5559751(V2-535-V2-539)Online publication date: Aug-2010
https://doi.org/10.1109/ICEIE.2010.5559751
Hao Liu Jun Hu Rauterberg M(2010)LsM: A new location and emotion aware web-based interactive music system2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE)10.1109/ICCE.2010.5418750(253-254)Online publication date: Jan-2010
https://doi.org/10.1109/ICCE.2010.5418750
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Index Terms

Adaptive user preference modeling and its application to in-flight entertainment
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
2. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

DIMEA '08: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts

September 2008

551 pages

ISBN:9781605582481

DOI:10.1145/1413634

Conference Chairs:
Sofia Tsekeridou
Athens Information Technology, Greece
,
Adrian David Cheok
ACM SIG CHI, Singapore Chapter and NUS, Singapore
,
Konstantinos Giannakis
InExDe, Greece
,
John Karigiannis
InExDe, Greece

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 10 September 2008

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DIMEA '08: Third International Conference on Digital Interactive Media in Entertainment and Arts

September 10 - 12, 2008

Athens, Greece

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DIMEA '08 Paper Acceptance Rate 59 of 77 submissions, 77%;

Overall Acceptance Rate 59 of 77 submissions, 77%

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Ma ZSilver DShakshuki E(2010)User profile management: reference model and web services implementationInternational Journal of Web and Grid Services10.1504/IJWGS.2010.0321896:1(1-34)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1504/IJWGS.2010.032189
Liu HTan CHu JRauterberg M(2010)Towards high level of presence: Combining static infrastructure with dynamic services2010 International Conference on Electronics and Information Engineering10.1109/ICEIE.2010.5559751(V2-535-V2-539)Online publication date: Aug-2010
https://doi.org/10.1109/ICEIE.2010.5559751
Hao Liu Jun Hu Rauterberg M(2010)LsM: A new location and emotion aware web-based interactive music system2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE)10.1109/ICCE.2010.5418750(253-254)Online publication date: Jan-2010
https://doi.org/10.1109/ICCE.2010.5418750
Schumm JSetz CBächlin MBächler MArnrich BTröster G(2010)Unobtrusive physiological monitoring in an airplane seatPersonal and Ubiquitous Computing10.1007/s00779-009-0272-114:6(541-550)Online publication date: 1-Sep-2010
https://dl.acm.org/doi/10.1007/s00779-009-0272-1
Liu HHu JRauterberg M(2009)Music Playlist Recommendation Based on User Heartbeat and Music PreferenceProceedings of the 2009 International Conference on Computer Technology and Development - Volume 0110.1109/ICCTD.2009.246(545-549)Online publication date: 13-Nov-2009
https://dl.acm.org/doi/10.1109/ICCTD.2009.246
Liu HHu JRauterberg M(2009)Software architecture support for biofeedback based in-flight music systems2009 2nd IEEE International Conference on Computer Science and Information Technology10.1109/ICCSIT.2009.5234489(580-584)Online publication date: Aug-2009
https://doi.org/10.1109/ICCSIT.2009.5234489

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Preference-based user rating correction process for interactive recommendation systems

Context-Aware Web Services Recommendation Based on User Preference

A Collaborative Filtering Recommendation Algorithm Based on Item Similarity of User Preference

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