Calibration-Reference-Cited by-同舟云学术

Calibration

Published:2018-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Information and Knowledge Management
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Author:

Borisov Alexey¹,Kiseleva Julia²,Markov Ilya³,de Rijke Maarten³

Affiliation:

1. Yandex & University of Amsterdam, Moscow, Russian Fed.

2. UserSat.com & University of Amsterdam, Amsterdam, Netherlands

3. University of Amsterdam, Amsterdam, Netherlands

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Amsterdam Data Science

Google Faculty Research Awards program

Microsoft Research Ph.D. program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3269206.3269260

Reference21 articles.

1. An Empirical Distribution Function for Sampling with Incomplete Information

2. O. Chapelle and Y. Zhang. 2009. A dynamic bayesian network click model for web search ranking. In WWW. ACM 1--10. 10.1145/1526709.1526711 O. Chapelle and Y. Zhang. 2009. A dynamic bayesian network click model for web search ranking. In WWW. ACM 1--10. 10.1145/1526709.1526711

3. A. Chuklin I. Markov and M. de Rijke. 2015. Click Models for Web Search .Morgan & Claypool. A. Chuklin I. Markov and M. de Rijke. 2015. Click Models for Web Search .Morgan & Claypool.

4. N. Craswell O. Zoeter M. Taylor and B. Ramsey. 2008. An experimental comparison of click position-bias models. In WSDM. ACM 87--94. 10.1145/1341531.1341545 N. Craswell O. Zoeter M. Taylor and B. Ramsey. 2008. An experimental comparison of click position-bias models. In WSDM. ACM 87--94. 10.1145/1341531.1341545

5. P. Domingos and M. Pazzani. 1996. Beyond independence: Conditions for the optimality of the simple Bayesian classifier. In ICML . Morgan Kaufm. 105--112. P. Domingos and M. Pazzani. 1996. Beyond independence: Conditions for the optimality of the simple Bayesian classifier. In ICML . Morgan Kaufm. 105--112.

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