Page 18 - THE LIVE STREAM MANUAL ONLINE PRODUCT SALES

Live Streaming's ecological validity. (AN Wendt-Journal of Dynamic Decision Making, 2017).

Over 70 million requests for 5,000 distinct URLs from clients in over 200 countries were

collected over a three-month period in research. In a macroscopic analysis of the workload, they
identify popularity, arrival process, session duration, and transport protocol usage. Popularity

follows a two-mode Zipf distribution, which means that session inter arrivals within small time
windows are exponential, that session durations are heavy-tailed, and that UDP is far from having

universal Internet reach. (Schlinker, Cunha, Chiu, Sundaresan, & Katz-Bassett, 2019). Massive
Open Online Courses (MOOC), like streaming, have grown in popularity in recent years. Live

streaming programming may be used in programming MOOCs to make live interaction possible.

Rather than watching a recorded video, videos and live streams allow you to interact with the code
and ask questions as they arise. Given the large number, some MOOCs may not be able to answer

all of the questions posed by participants, so the streamer may not be able to do so. Other
participants could provide an answer in an open chat environment as well, as demonstrated in the

case study.

2. DIRECT INTERACTION WITH CUSTOMER:

Streaming, whether in games or otherwise,
occurs via a web service where different

streamers have channels, which are typically

focused on specific themes. These channels
enable viewers to discover and follow new

content. Twitch.tv (https://www.twitch.tv/) is a
video streaming platform. Already in 2012, Figure 2. Direct Interaction with Customer

there was an increase in the number of viewers
(D’Henry, n.d.)
and streamers on Twitch.tv, with tens of
thousands of viewers each day. The number of viewers in streaming phenomenon has persisted

and is expanding alongside e-sports (computer gaming). (R Robinson, J Hammer, & K Isbister
2019).

Platforms for live streaming broadcast user-generated video in real time. These platforms'

recommendations share characteristics with traditional settings, such as a large volume of
heterogeneous content and highly skewed interaction distributions. However, several obstacles

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