Applying visual user interest profiles for recommendation & personalisation
Zhou, JiangORCID: 0000-0002-3067-8512, Gurrin, CathalORCID: 0000-0003-2903-3968 and Albatal, RamiORCID: 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
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.
Proceedings of MMM 2016 - The 22nd International Conference on Multimedia Modeling. Lecture Notes in Computer Science
9517.
Springer. ISBN 978-3-319-27673-1