Industrial Partnerships
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Other Machine Learning Projects

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Other Technology Strategy Board Funded Projects

Instant Knowledge
(this project has ended)

The 'Instant Knowledge' research project is jointly funded by MobileVCE, the Technology Strategy Board (TSB) and the EPSRC, carrying out research into the field of machine learning and intelligent agents. The project itself centres around the notion of a personal distributed environment involving mobile devices (such as phones, PDA's, laptops etc.) and using context-sensitive information to extract and share knowledge in a useful way; whilst simultaneously addressing any security and privacy issues.

This is a multi-disciplinary project lead by the MobileVCE organisation, whose membership consists of several industrial members, including many mobile phone operators. The University of Strathclyde and Royal Holloway, University of London are the two other academic partners involved in the project.

The role of Southampton in the project is to provide machine learning and agent expertise in order to collate context features in an intelligent way so that information between agents can be shared either via ad-hoc meetings (e.g. over bluetooth or short-range wireless) or via a central repository (for example a central store on a corporate network.

Type: Normal Research Project
Research Group: Information: Signals, Images, Systems Research Group
Themes: Machine Learning, Security & Trust, Agent Based Computing
Dates: 1st February 2008 to 31st August 2011

Partners

  • Mobile VCE
  • Royal Holloway, University of London
  • University of Strathclyde

Funding

  • The Virtual Centre of Excellence in Mobile and Personal Communications
  • Technology Strategy Board

Principal Investigators

  • [hidden]
URI: http://id.ecs.soton.ac.uk/project/469
RDF: http://rdf.ecs.soton.ac.uk/project/469

More information

Associated Publications

Number of items: 4.

Barnard, T. and Prügel-Bennett, A. (2011) Experiments in Bayesian Recommendation. In: Proceedings of the 7th Atlantic Web Intelligence Conference, AWIC 2011, Fribourg, Switzerland, January 26-28, 2011, Springer. ISBN 978-3-642-18028-6

Barnard, T. and Prugel-Bennett, A. (2011) Privacy-Preserving Profiling. In: DMIN2011, July 18-21 2011, Las Vegas, Nevada, USA.

Ghazanfar, M. and Prugel-Bennett, A. (2010) An Improved Switching Hybrid Recommender
System Using Naive Bayes Classifier and
Collaborative Filtering. In: The 2010 IAENG International Conference on Data Mining and Applications, 17-19 March, 2010, Hong Kong.

Ghazanfar, M. and Prugel-Bennett, A. (2010) Novel Significance Weighting Schemes for Collaborative Filtering:
Generating Improved Recommendations in Sparse Environments. In: DMIN'10, the 2010 International Conference on Data Mining!, July 2010, USA.

This list was generated on Fri Feb 10 00:59:10 2012 GMT.

Publications included from http://eprints.ecs.soton.ac.uk/view/projects/469.include.