The 11th ACM International Conference on Web Search and Data Mining

Los Angeles, California, USA, 2018.

WSDM CUP 2018 Call-for-Participants

Music Recommendation & Churn Prediction

WSDM Cup Challenge

Content recommendation is at the heart of most subscription-based media stream platforms. A good recommendation system can vastly enhance user experience and increase user engagement. On the other hand, predicting user churn is a common challenge facing all subscription-based platforms. Predicting user churn and understanding the key factors leading to membership renewal have great business value.

We invite you to take part in one of the following shared tasks:

Task 1: Music Recommendation

In this task, the participants are requested to exploit the provided user history and music metadata to develop a recommendation system. Given a copy of user listening history during a two month period, participants are required to predict what songs a set of predetermined users would listen to during the next month.
Kaggle: https://www.kaggle.com/c/kkbox-music-recommendation-challenge

Task 2: Churn Prediction

In this task, we would like to know whether a user will renew his/her subscription within 30 days after the current subscription expires.
Kaggle: https://www.kaggle.com/c/kkbox-churn-prediction-challenge

Learn more at: https://wsdm-cup-2018.kkbox.events/

Important Dates

  • September, 15th, 2017: Competition begins
  • December, 17th, 2017: Competition Ends
  • December, 19th, 2017: Winner announcement
  • January, 9th, 2018: Workshop paper submission deadline
  • February, 8th, 2018: WSDM cup workshop

All deadlines are 11:59 PM, Pacific Standard Time (PST).

For details, please check: https://wsdm-cup-2018.kkbox.events/