A Network and Visual Quality Aware N-Screen Content Recommender System Using Joint Matrix Factorization
Joint Authors
Ullah, Farman
Sarwar, Ghulam
Lee, Sungchang
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We propose a network and visual quality aware N-Screen content recommender system.
N-Screen provides more ways than ever before to access multimedia content through multiple devices and heterogeneous access networks.
The heterogeneity of devices and access networks present new questions of QoS (quality of service) in the realm of user experience with content.
We propose, a recommender system that ensures a better visual quality on user’s N-screen devices and the efficient utilization of available access network bandwidth with user preferences.
The proposed system estimates the available bandwidth and visual quality on users N-Screen devices and integrates it with users preferences and contents genre information to personalize his N-Screen content.
The objective is to recommend content that the user’s N-Screen device and access network are capable of displaying and streaming with the user preferences that have not been supported in existing systems.
Furthermore, we suggest a joint matrix factorization approach to jointly factorize the users rating matrix with the users N-Screen device similarity and program genres similarity.
Finally, the experimental results show that we also enhance the prediction and recommendation accuracy, sparsity, and cold start issues.
American Psychological Association (APA)
Ullah, Farman& Sarwar, Ghulam& Lee, Sungchang. 2014. A Network and Visual Quality Aware N-Screen Content Recommender System Using Joint Matrix Factorization. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1051119
Modern Language Association (MLA)
Ullah, Farman…[et al.]. A Network and Visual Quality Aware N-Screen Content Recommender System Using Joint Matrix Factorization. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1051119
American Medical Association (AMA)
Ullah, Farman& Sarwar, Ghulam& Lee, Sungchang. A Network and Visual Quality Aware N-Screen Content Recommender System Using Joint Matrix Factorization. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1051119
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051119