Customer Preference and Latent Needs Analysis Using Data of TV Viewing and Web Browsing

被引：0

作者：

Guo, An ^{[1
]}

Otake, Kohei ^{[2
]}

Namatame, Takashi ^{[3
]}

机构：

[1] Chuo Univ, Grad Sch Sci & Engn, Hachioji, Tokyo, Japan

[2] Tokai Univ, Sch Informat & Telecommun Engn, Minato Ku, 2-3-23 Takanawa, Tokyo 1088619, Japan

[3] Chuo Univ, Fac Sci & Engn, Bunkyo Ku, 1-13-27 Kasuga, Tokyo 1128551, Japan

来源：

SOCIAL COMPUTING AND SOCIAL MEDIA: COMMUNICATION AND SOCIAL COMMUNITIES, SCSM 2019, PT II | 2019年 / 11579卷

关键词：

TV viewing; Time shift; Web browsing; Cluster analysis;

D O I：

10.1007/978-3-030-21905-5_25

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In recent years, with the needs of TV viewing change in Japan. TV viewing changes from long time to short time. In order to prevent the viewing time from decreasing as it is, the need to predict customers' taste for TV viewing is increasing. This research focuses on several types of TV viewing, i.e. real time and time shift viewing, in addition, web browsing of customers in view of television viewing is considered. We will grasp the viewing tendency of the customer and predict the TV viewing of customers.

引用

页码：319 / 329

页数：11

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