City Research Online

Recommendations in a heterogeneous service environment

Ueberall, C., Koehnen, C., Rakocevic, V. , Jaeger, R., Hoy, E. & Rajarajan, M. (2013). Recommendations in a heterogeneous service environment. Multimedia Tools and Applications, 62(3), pp. 785-820. doi: 10.1007/s11042-011-0874-2


This paper presents novel algorithms which are able to generate recommendations within a heterogeneous service environment. In this work explicitly set preferences as well as implicitly logged viewing behavior are employed to generate recommendations for Digital Video Broadcast (DVB) content. This paper also discusses the similarity between the DVB genres and YouTube categories. In addition it presents results to show the comparison between well known collaborative filtering methods. The outcome of this comparison study is used to identify the most suitable filtering method to use in the proposed environment. Finally the paper presents a novel Personal Program Guide (PPG), which is used as a tool to visualize the generated recommendations within a heterogeneous service environment. This PPG is also capable of showing the linear DVB content and the non-linear YouTube videos in a single view.

Publication Type: Article
Additional Information: The final publication is available at Springer via
Publisher Keywords: Personalized television, Recommendations, Content-based, Collaborative filtering, Similarity, Media convergence, Personal Program Guide, DVB, YouTube, ALGORITHMS
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TA Engineering (General). Civil engineering (General)
Departments: School of Science & Technology > Engineering
SWORD Depositor:
[thumbnail of ACM_Multimedia_Tools_And_Applications.pdf]
Download (872kB) | Preview


Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email


Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login