Browsing by Author "Hsu, Shang H."

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AIMED - A personalized TV recommendation system
(2007)
Hsu, Shang H.
;
Wen, Ming-Hui
;
Lin, Hsin-Chieh
;
Lee, Chun-Chia
;
Lee, Chia-Hoang
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.