A TV program recommender framework

被引：29
作者：
Chang, Na [1 ]
Irvan, Mhd [1 ]
Terano, Takao [1 ]
机构：
[1] Tokyo Inst Technol, Midori Ku, Yokohama, Kanagawa 2268502, Japan
来源：
17TH INTERNATIONAL CONFERENCE IN KNOWLEDGE BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS - KES2013 | 2013年 / 22卷
关键词：
Intelligent system; recommender systems; TV Program recommendation; SERVICE;
D O I：
10.1016/j.procs.2013.09.136
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the area of intelligent systems, research about recommender systems is a critical topic and has been applied in many fields. In this paper, we focus on TV program recommender systems. We give an overview of literature research about TV program recommender systems and propose a smart and social TV program recommender framework for Smart TV, which integrates the Internet and Web 2.0 features into television sets and set-top boxes. In addition, we also address several issues, such as accuracy, diversity, novelty, explanation and group recommendations, which are important in building a TV program recommender system. The proposed framework could be used to help designers/developers to build TV program recommender systems/engines for smart TV. (C) 2013 The Authors. Published by Elsevier B.V.
引用
收藏
页码：561 / 570
页数：10
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