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
Appears in Collections:Conferences Paper