N-Screen Aware Multicriteria Hybrid Recommender System Using Weight Based Subspace Clustering
Joint Authors
Ullah, Farman
Sarwar, Ghulam
Lee, Sungchang
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a recommender system for N-screen services in which users have multiple devices with different capabilities.
In N-screen services, a user can use various devices in different locations and time and can change a device while the service is running.
N-screen aware recommendation seeks to improve the user experience with recommended content by considering the user N-screen device attributes such as screen resolution, media codec, remaining battery time, and access network and the user temporal usage pattern information that are not considered in existing recommender systems.
For N-screen awarerecommendation support, this work introduces a user device profile collaboration agent, manager, and N-screen control server to acquire and manage the user N-screen devices profile.
Furthermore, a multicriteria hybrid framework is suggested that incorporates the N-screen devices information with user preferences and demographics.
In addition, we propose an individual feature and subspace weight based clustering (IFSWC) to assign different weights to each subspace and each feature within a subspace in the hybrid framework.
The proposed system improves the accuracy, precision, scalability, sparsity, and cold start issues.
The simulation results demonstrate the effectiveness and prove the aforementioned statements.
American Psychological Association (APA)
Ullah, Farman& Sarwar, Ghulam& Lee, Sungchang. 2014. N-Screen Aware Multicriteria Hybrid Recommender System Using Weight Based Subspace Clustering. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1050583
Modern Language Association (MLA)
Ullah, Farman…[et al.]. N-Screen Aware Multicriteria Hybrid Recommender System Using Weight Based Subspace Clustering. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1050583
American Medical Association (AMA)
Ullah, Farman& Sarwar, Ghulam& Lee, Sungchang. N-Screen Aware Multicriteria Hybrid Recommender System Using Weight Based Subspace Clustering. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1050583
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050583