標題: | AIMED - A personalized TV recommendation system |
作者: | Hsu, Shang H. Wen, Ming-Hui Lin, Hsin-Chieh Lee, Chun-Chia Lee, Chia-Hoang 工業工程與管理學系 Department of Industrial Engineering and Management |
關鍵字: | TV program recommendation system;predictor;personal information;lifestyle;activity;interest;mood |
公開日期: | 2007 |
摘要: | Previous personalized DTV recommendation systems focus only on viewers' historical viewing records or demographic data. This study proposes a new recommending mechanism from a user oriented perspective. The recommending mechanism is based on user properties such as Activities, Interests, Moods, Experiences, and Demographic information-AIMED. The AIMED data is fed into a neural network model to predict TV viewers' program preferences. Evaluation results indicate that the AIMED model significantly increases recommendation accuracy and decreases prediction errors compared to the conventional model. |
URI: | http://hdl.handle.net/11536/5580 |
ISBN: | 978-3-540-72558-9 |
ISSN: | 0302-9743 |
期刊: | INTERACTIVE TV: A SHARED EXPERIENCE, PROCEEDING |
Volume: | 4471 |
起始頁: | 166 |
結束頁: | 174 |
顯示於類別: | 會議論文 |