Big Data Analysis in Video Websites: Evidence from Bilibili and YouTube

Abstract

Contemporarily, society enters the era of high-tech information technology, and big data is the product of the rapid development of information technology. Big data with the characteristics of Volume, Variety, Velocity, Veracity and Value plays an important role in various industries. It optimizes business processes, improves business quality, guides industry innovation, and ultimately provides convenience and better services for mankind. The development of Internet technology, communication technology, data transmission technology and smart terminal technology has contributed to the rise of video websites. More and more people choose to watch video in the websites to entertainment (e.g., YouTube, Tik Tok and Bilibili). Personal recommendation is one way to get viewers to stay and enhance viewers stickiness. In this paper, big data and video websites are linked. The role played by big data techniques in personalized push and provide differentiated services for viewers of video websites will be discussed. In addition, the limitations of the state-of-art big data technologies combined with the development status of video websites are analyzed. Overall, these results shed light on guiding further exploration of video websites using big data techniques to improve the business and user experience and find future directions.