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<div>DESCRIPTION</div>
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<div>Streaming platforms for e-sports such as Twitch become more and more popular. Users can stream their gameplay while others watch and comment on the stream. It is also possible to donate to a streamer or subscribe to the channel, which cost monthly fees (4.99$, 9.99$, or 24.99$). Half of the money goes to the streamer, the other half to Twitch. Thus, there is a monetary motivation for both, streamers and Twitch, to get people to subscribe to a channel. In this challenge, you will build a binary classifier that predicts the subscription status of a user-channel combination based on the comments the user made in this and other channels. Given a model that predicts a user to be subscribed although he or she is not, we can suspect that the user could be interested in a subscription, which could be used for targeted advertising. The organizers of this discovery challenge are by no means affiliated with Twitch.</div>
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<div>ORGANIZERS</div>
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<div>Konstantin Kobs - Julius-Maximilians University Würzburg, Germany<br/>
Martin Potthast - Leipzig University, Germany<br/>
Albin Zehe - Julius-Maximilians University Würzburg, Germany<br/>
Matti Wiegmann - Bauhaus Universität Weimar and German Aerospace Center, Germany</div>
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<div>Details at events.professor-x.de/dc-ecmlpkdd-2020/</div>
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