Smart Home User's Behavior Prediction

被引：0
|
作者：
Vavilov, Dmitry [1 ]
Melezhik, Alexey [2 ]
Platonov, Ivan [3 ]
机构：
[1] T Syst, St Petersburg, Russia
[2] Gazprom Promgaz, St Petersburg, Russia
[3] SPbGU Politech, St Petersburg, Russia
来源：
2013 IEEE THIRD INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - BERLIN (ICCE-BERLIN) | 2013年
关键词：
usability; recommender system; prediction techniques; cyclicality of user activities;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Modern Smart Home solutions can be generally classified as sensor-based or user-directive based. Prediction of the User Behavior is a very promising approach because it improves usability of Smart Home devices critical for their future expansion. It requires an effective enough, cheap, flexible, and easy implemented algorithms. Such "light" algorithms previously developed for predicting of TV viewer activities could be easily adapted for Smart Home devices programming.
引用
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页数：4
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