Facilitating Video Social Media Search Using Social-driven Tags Computing
نویسندگان
چکیده
Online video search or stream live on social media has become tremendous widespread and speedy increased continuously in recent years. Most of the videos shared on social media are aimed at the more number of views from audiences. What and how many videos the users shared all around the world have created a great amount and varied videos and the other data into Internet cloud’s database and even can be viewed as a kind of big data of digital contents. This research is to present how to implement a social-driven tags computing (SDT) which can be used to facilitate online video search on social media platforms.
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تاریخ انتشار 2017