Zhou, Jiang 
ORCID: 0000-0002-3067-8512, Gurrin, Cathal ORCID: 0000-0003-2903-3968 and Albatal, Rami ORCID: 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 Institutes 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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