Type

Conference Proceedings

Authors

Cathal Gurrin
Rami Albatal
Jiang Zhou

Subjects

Computer Science

Topics
visual personalisation deep learning algorithms profiles interest user profile information retrieval

Applying visual user interest profiles for rRecommendation & personalisation (2016)

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.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval
Ireland -> Dublin City University -> Subject = Computer Science: Algorithms
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics

Full list of authors on original publication

Cathal Gurrin, Rami Albatal, Jiang Zhou

Experts in our system

1
Cathal Gurrin
Dublin City University
Total Publications: 238
 
2
Rami Albatal
Dublin City University
Total Publications: 30
 
3
Jiang Zhou
Dublin City University
Total Publications: 18