Unlocking the Potential of Recommender Systems: A Framework to Achieve Multiple Domain Recommendations.

Loizou, Antonis (2007) Unlocking the Potential of Recommender Systems: A Framework to Achieve Multiple Domain Recommendations. (In Press)

Record type: Monograph (Project Report)

Text

al05r_mini-thesis.pdf - Version of Record

Available under License Other.

Download (1MB)

More information

Accepted/In Press date: October 2007

Keywords: Recommender Systems, cross-domain, Bayesian networks

Organisations: Electronics & Computer Science

Local EPrints ID: 265462

URI: http://eprints.soton.ac.uk/id/eprint/265462

PURE UUID: 009c8b68-b16c-4044-8a00-0c7a556ab447

Date deposited: 24 Apr 2008 07:48

Last modified: 14 Mar 2024 08:10

Author: Antonis Loizou

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.