Abstract
A wide deployment of Internet Protocol Television (IPTV), Cable Television (CATV), Internet, User Created Contents (UCC), and Digital Television (DTV) enabled the rapid increase of channels and programs which can be selected by consumers. This was not expected when we consider the conventional television program technologies and policies. Due to these paradigm changes, hundreds of channels and programs are now available to consumers. It has become difficult and time consuming to find an interesting channel and program via the remote control or channel guide map. To refine the channel selecting processes and to satisfy the consumer's requirements, we propose the Personalized DTV Program Recommendation (PDPR) system under a cloud computing environment. The proposed PDPR system analyzes and uses the viewing pattern of consumers to personalize the program recommendations, and to efficiently use computing resources.
| Original language | English |
|---|---|
| Article number | 5506036 |
| Pages (from-to) | 1034-1042 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Consumer Electronics |
| Volume | 56 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - May 2010 |
Bibliographical note
Funding Information:In South Korea, “The development project of Digital Cable Broadcasting Service Technology based on Cloud Computing” started in March 2009, and will be completed sometime in 2011 [21], [22]. This project is sponsored by Korea Communication Commission, a governmental office. The goal of the project is to construct the “Storage Cloud” which can efficiently store and manage the digital contents of the Service Operators (SOs) by using cloud computing technologies. Also, a shared technology for common infrastructures is considered in order to prevent a duplicated investment, and to provide the intelligent, personalized, broadcasting service based on next generation computing and communication technologies.
Keywords
- Cloud Computing
- DTV
- IPTV
- Personalized Channel Recommendation