Just Browsing? Understanding User Journeys in Online TV

被引：5
|
作者：
Elkhatib, Yehia [1 ]
Killick, Rebecca [2 ]
Mu, Mu [1 ]
Race, Nicholas [1 ]
机构：
[1] Univ Lancaster, Sch Comp & Commun, Lancaster, England
[2] Univ Lancaster, Dept Math & Stat, Lancaster, England
来源：
PROCEEDINGS OF THE 2014 ACM CONFERENCE ON MULTIMEDIA (MM'14) | 2014年
关键词：
Online TV; User behaviour; Modelling;
D O I：
10.1145/2647868.2654980
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Understanding the dynamics of user interactions and the behaviour of users as they browse for content is vital for advancements in content discovery, service personalisation, and recommendation engines which ultimately improve quality of user experience. In this paper, we analyse how more than 1,100 users browse an online TV service over a period of six months. Through the use of model-based clustering, we identify distinctive groups of users with discernible browsing patterns that vary during the course of the day.
引用
收藏
页码：965 / 968
页数：4
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