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Applying visual user interest profiles for recommendation & personalisation

Zhou, Jiang orcid logoORCID: 0000-0002-3067-8512, Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 and Albatal, Rami orcid logoORCID: 0000-0002-9269-8578 (2016) Applying visual user interest profiles for recommendation & personalisation. In: MMM 2016 - The 22nd International Conference on Multimedia Modeling, 4-6 Jan 2016, Miami, FL.. ISBN 978-3-319-27673-1

Abstract
We propose that a visual user interest profile can be gener- ated from images associated with an individual. By employing deep learn- ing, we extract a prototype visual user interest profile and use this as a source for subsequent recommendation and personalisation. We demon- strate this technique via a hotel booking system demonstrator, though we note that there are numerous potential applications.
Metadata
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Lifelog
Computer Science > Machine learning
Computer Science > Multimedia systems
Computer Science > Image processing
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of MMM 2016 - The 22nd International Conference on Multimedia Modeling. Lecture Notes in Computer Science 9517. Springer. ISBN 978-3-319-27673-1
Publisher:Springer
Copyright Information:© 2016 Springer. The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:20878
Deposited On:13 Jan 2016 11:11 by Cathal Gurrin . Last Modified 15 Dec 2021 16:15
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