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- Title
CONTENT CLASSIFICATION AND RECOMMENDATION TECHNIQUES FOR VIEWING ELECTRONIC PROGRAMMING GUIDE ON A PORTABLE DEVICE.
- Authors
JINGBO ZHU; MA, MATTHEW Y.; GUO, JINHONG K.; ZHENXING WANG
- Abstract
With the merge of digital television (DTV) and the exponential growth of broadcasting network, an overwhelmingly amount of information has been made available to a consumer's home. Therefore, how to provide consumers with the right amount of information becomes a challenging problem. In this paper, we propose an electronic programming guide (EPG) recommender based on natural language processing techniques, more specifically, text classification. This recommender has been implemented as a service on a home network that facilitates the personalized browsing and recommendation of TV programs on a portable remote device. Evaluations of our Maximum Entropy text classifier were performed on multiple categories of TV programs, and a near 80% retrieval rate is achieved using a small set of training data.
- Subjects
DIGITAL television; ELECTRONIC program guides (Television); BROADCASTING industry; DIGITAL communications; TELEVISION programs
- Publication
International Journal of Pattern Recognition & Artificial Intelligence, 2007, Vol 21, Issue 2, p375
- ISSN
0218-0014
- Publication type
Article
- DOI
10.1142/S0218001407005399