Title
A Hybrid Recommender Strategy for Personalized Utility-Based Cross-Modal Multimedia Adaptation.
Abstract
Enabling transparent and augmented use of multimedia content across a wide range of networks and devices is still a challenging task within the multimedia research community. Within multimedia frameworks, content adaptation is the core concept to overcome this issue. Most media adaptation engines targeting Universal Multimedia Access (UMA) scale the content w.r.t. terminal capabilities and network resource constraints and do not sufficiently consider user preferences. This paper focuses on a hybrid recommender technique for configuring a cross-modal utility model that guides adaptation of multimedia content. This approach additionally considers the user environment as well as demographic user data which leads to a personalized and increased multimedia experience. Based on a related adaptation decision technique we show how it is possible to offer a personalized adaptation for the individual user. We present a detailed evaluation of the approach based on results earned by subjective tests.
Year
DOI
Venue
2007
10.1109/ICME.2007.4284998
ICME
Keywords
Field
DocType
bandwidth,feedback,spatial resolution,content management,recommender systems,information technology,search engines,testing,demography
Recommender system,Utility model,Universal multimedia access,Information technology,Computer science,Bandwidth (signal processing),Content management,Multimedia,Modal,Content adaptation
Conference
ISBN
Citations 
PageRank 
1-4244-1017-7
5
0.90
References 
Authors
5
3
Name
Order
Citations
PageRank
Martin Prangl1446.95
Roland Bachlechner250.90
Hermann Hellwagner31114134.97