1. A. Agarwal , I. Zaitsev , X. Wang , C. Li , M. Najork , and T. Joachims . 2019. Estimating Position Bias without Intrusive Interventions . In Proc. of the Twelfth ACM International Conference on Web Search and Data Mining(WSDM ’19) . ACM, 474–482. https://doi.org/10.1145/3289600.3291017 10.1145/3289600.3291017 A. Agarwal, I. Zaitsev, X. Wang, C. Li, M. Najork, and T. Joachims. 2019. Estimating Position Bias without Intrusive Interventions. In Proc. of the Twelfth ACM International Conference on Web Search and Data Mining(WSDM ’19). ACM, 474–482. https://doi.org/10.1145/3289600.3291017
2. Unbiased Learning to Rank with Unbiased Propensity Estimation
3. J. Beel , M. Genzmehr , S. Langer , A. Nürnberger , and B. Gipp . 2013. A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation . In Proc. of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation(RepSys ’13) . 7–14. J. Beel, M. Genzmehr, S. Langer, A. Nürnberger, and B. Gipp. 2013. A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation. In Proc. of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation(RepSys ’13). 7–14.
4. Offline recommender system evaluation: Challenges and new directions
5. O. Chapelle , D. Metzler , Y. Zhang , and P. Grinspan . 2009. Expected Reciprocal Rank for Graded Relevance . In Proc. of the 18th ACM Conference on Information and Knowledge Management(CIKM ’09) . ACM, 621–630. https://doi.org/10.1145/1645953.1646033 10.1145/1645953.1646033 O. Chapelle, D. Metzler, Y. Zhang, and P. Grinspan. 2009. Expected Reciprocal Rank for Graded Relevance. In Proc. of the 18th ACM Conference on Information and Knowledge Management(CIKM ’09). ACM, 621–630. https://doi.org/10.1145/1645953.1646033