Discovery Challenge “Chat Analytics for Twitch” (ChAT)
This Discovery Challenge is part of ECML-PKDD 2020 in Ghent, Belgium. The task is to estimate a user’s subscription status regarding Twitch channels they are interacting with.
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.
This is the (approximate) timeline for this challenge. Further information will be announced in the future.
- March 21, 2020: Data will be provided ✅
- April 22, 2020: Early Bird evaluation
- June 2, 2020: Evaluation ends
- June 3, 2020: Results are notified to participants
- July 1, 2020: Paper submission due
- July 15, 2020: Author notification
- July 20, 2020: Early Bird Conference Registration Deadline
- August 6, 2020: Camera ready submission due
- September 14-18, 2020: ECML-PKDD 2020
In order to get important updates, announcements, and being able to submit your results, please register here.
- March 24, 2020: We now provide the evaluation script for the challenge, so you can test under the same conditions as in the final evaluation.
- March 21, 2020: We have a better task description and revamped the data’s structure. If you already downloaded the data by now, please download it again and pay attention to the new data format.
- Konstantin Kobs (Julius-Maximilians University Würzburg)
- Martin Potthast (Leipzig University)
- Albin Zehe (Julius-Maximilians University Würzburg)
- Matti Wiegmann (Bauhaus Universität Weimar and German Aerospace Center)