Audience Behavior Mining: Integrating TV Ratings with Multimedia Content

被引：3
|
作者：
Hinami, Ryota [1 ]
Satoh, Shin'ichi [2 ]
机构：
[1] Univ Tokyo, Dept Informat & Commun Engn, Grad Sch Informat Sci & Technol, Tokyo, Japan
[2] Natl Inst Informat, Digital Content & Media Sci Res Div, Tokyo, Japan
来源：
IEEE MULTIMEDIA | 2017年 / 24卷 / 02期
关键词：
D O I：
10.1109/MMUL.2017.25
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A general framework for audience behavior mining integrates the analysis of TV ratings and multimedia content. Focusing on change points in TV ratings data, the authors propose applications for interactive mining of audience behavior and for detecting popular news topics.
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页码：44 / 54
页数：11
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