RecSys Challenge 2016
Author:
Affiliation:
1. University of Warsaw, Poland
Funder
European Commission
Publisher
ACM Press
Reference3 articles.
1. T. Chen and C. Guestrin. Xgboost: A scalable tree boosting system.CoRR, abs/1603.02754, 2016.
2. P. Romov and E. Sokolov. Recsys challenge 2015: Ensemble learning with categorical features. InProceedings of the 2015 International ACM Recommender Systems Challenge, RecSys '15 Challenge, pages 1:1--1:4, New York, NY, USA, 2015. ACM.
3. M. Volkovs. Two-stage approach to item recommendation from user sessions. InProceedings of the 2015 International ACM Recommender Systems Challenge, RecSys '15 Challenge, pages 3:1--3:4, New York, NY, USA, 2015. ACM.
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