标题:Temporal patterns of the online video viewing behavior of smart TV viewers
作者:Lian, Tao; Chen, Zhumin; Lin, Yujie; Ma, Jun
作者机构:[Lian, Tao; Chen, Zhumin; Lin, Yujie; Ma, Jun] Shandong Univ, Sch Comp Sci & Technol, Jinan, Shandong, Peoples R China.
通讯作者:Lian, Tao
通讯作者地址:[Lian, T]Shandong Univ, Sch Comp Sci & Technol, Jinan, Shandong, Peoples R China.
来源:JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
出版年:2018
卷:69
期:5
页码:647-659
DOI:10.1002/asi.23992
摘要:In recent years, millions of households have shifted from traditional TVs to smart TVs for viewing online videos on TV screens. In this article, we perform extensive analyses on a large-scale online video viewing log on smart TVs. Because time influences almost every aspect of our lives, our aim is to understand temporal patterns of the online video viewing behavior of smart TV viewers at the crowd level. First, we measure the amount of time per hour spent in watching online videos on smart TV by each household on each day. By applying clustering techniques, we identify eight daily patterns whose peak hours occur in different segments of the day. The differences among households can be characterized by three types of temporal habits. We also uncover five periodic weekly patterns. There seems to be a circadian rhythm at the crow level. Further analysis confirms that there exists a holiday effect in the online video viewing behavior on smart TVs. Finally, we investigate the popularity variations of different video categories over the day. The obtained insights shed light on how we can partition a day to improve the performance of time-aware video recommendations for smart TV viewers.
收录类别:EI;SCOPUS;SCIE;SSCI
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040798693&doi=10.1002%2fasi.23992&partnerID=40&md5=623dca25d4e75ffa10237049c6fe98e1
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