Zhou, Jiang 
ORCID: 0000-0002-3067-8512, Albatal, Rami ORCID: 0000-0002-9269-8578 and Gurrin, Cathal ORCID: 0000-0003-2903-3968
(2016)
Applying visual user interest profiles for rRecommendation & personalisation.
In: MultiMedia Modeling 2016, 4-6 Jan. 2016, Miami, FL,.
ISBN 978-3-319-27673-1
Abstract
We propose that a visual user interest profile can be generated from images associated with an individual. By employing deep learning, we extract a prototype visual user interest profile and use this as a source for subsequent recommendation and personalisation. We demonstrate this technique via a hotel booking system demonstrator, though we note that there are numerous potential applications.
Metadata
| Item Type: | Conference or Workshop Item (Other) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Subjects: | Computer Science > Algorithms Computer Science > Information retrieval |
| DCU Faculties and Centres: | Research Initiatives and Centres > INSIGHT Centre for Data Analytics DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
| Published in: | Proceedings of MMM 2016 - The 22nd International Conference on Multimedia Modeling. Lecture Notes in Computer Science 9517(0302-9). 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: | 21012 |
| Deposited On: | 15 Jan 2016 09:38 by Jiang Zhou . Last Modified 15 Dec 2021 16:14 |
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