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Learning and managing user context in personalized communications services

Published: 23 May 2006 Publication History

Abstract

A key dimension in personalization of converged (wireless and wireline, web) communication services is adapting each service to a user's context, and thus tailoring the services to the daily lives of individual users. The Intuitive Network Application (INA) framework being developed at Bell Labs uses both machine learning techniques as well as user feedback to determine a user's profile and preferences. This paper explores how this information can then be used by the network to automatically infer a user's context and to tailor the service behavior to the needs of the user in that context.

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Chiang, T., Johnson, A., Kanwal, S., and Shaikh, F. Friends Night Out --- a working prototype of blended lifestyle service enabled through IMS. Bell Labs Technical Journal, 10(4):17 23, 2006.
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Dinoff, R., Hull, R., Kumar, B., Lieuwen, D., and Santos, P., A framework for learning to personalize converged services involving social networks. Submitted for publication.
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Hull, R., Kumar, B., Lieuwen, D., Patel-Schneider, P., Sahuguet, A., Varadarajan, S., and Vyas, A. Improving user experience through rule-based service customization. Intl. J. Cooperative Information Systems, 14(4):469--502, December 2005.
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Hull, R., Kumar, B., Lieuwen, D., Patel-Schneider, P., Sahuguet, A., Varadarajan, S., and Vyas, A. Enabling context-aware and privacy-conscious user data sharing. In Proc. 5th IEEE Intl. Conf. Mobile Data Management (MDM), pages 187--198, 2004.
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Cited By

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  • (2018)A Multi-agent Model for Security Awareness Driven by Home User’s BehavioursProceedings of the Future Technologies Conference (FTC) 201810.1007/978-3-030-02686-8_15(185-195)Online publication date: 18-Oct-2018
  • (2006)A Framework for Learning to Personalize Converged Services Involving Social Networks2006 IEEE Mountain Workshop on Adaptive and Learning Systems10.1109/SMCALS.2006.250697(91-97)Online publication date: Nov-2006

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cover image ACM Other conferences
CAI '06: Proceedings of the international workshop in conjunction with AVI 2006 on Context in advanced interfaces
May 2006
51 pages
ISBN:9781450378147
DOI:10.1145/1145706
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

New York, NY, United States

Publication History

Published: 23 May 2006

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Author Tags

  1. context
  2. learning
  3. personalization
  4. preference palettes
  5. preferences
  6. privacy

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View all
  • (2018)A Multi-agent Model for Security Awareness Driven by Home User’s BehavioursProceedings of the Future Technologies Conference (FTC) 201810.1007/978-3-030-02686-8_15(185-195)Online publication date: 18-Oct-2018
  • (2006)A Framework for Learning to Personalize Converged Services Involving Social Networks2006 IEEE Mountain Workshop on Adaptive and Learning Systems10.1109/SMCALS.2006.250697(91-97)Online publication date: Nov-2006

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