Author: Maryam Karimzadehgan

Publications

Publication period start: 2012
Number of co-authors: 7

Co-authors

Number of publications with favourite co-authors
Ryen W. White
1
Matthew Richardson
1
Chengxiang Zhai
3

Productive Colleagues

Most productive colleagues in number of publications
Wei Li
23
Ryen W. White
59
Chengxiang Zhai
64

Publications

Karimzadehgan, Maryam, Zhai, Chengxiang, Belford, Geneva G. (2008): Multi-aspect expertise matching for review assignment. In: Shanahan, James G., Amer-Yahia, Sihem, Manolescu, Ioana, Zhang, Yi, Evans, David A., Kolcz, Aleksander, Choi, Key-Sun, Chowdhury, Abdur (eds.) Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008 October 26-30, 2008, Napa Valley, California, USA. pp. 1113-1122. https://doi.acm.org/10.1145/1458082.1458230

Karimzadehgan, Maryam, Zhai, Chengxiang (2010): Estimation of statistical translation models based on mutual information for ad hoc inform. In: Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2010, . pp. 323-330. https://doi.acm.org/10.1145/1835449.1835505

Karimzadehgan, Maryam, Li, Wei, Zhang, Ruofei, Mao, Jianchang (2011): A stochastic learning-to-rank algorithm and its application to contextual advertising. In: Proceedings of the 2011 International Conference on the World Wide Web , 2011, . pp. 377-386. https://dx.doi.org/10.1145/1963405.1963460

Karimzadehgan, Maryam, White, Ryen W., Richardson, Matthew (2009): Enhancing Expert Finding Using Organizational Hierarchies. In: Boughanem, Mohand, Berrut, Catherine, Mothe, Josiane, Soulé-Dupuy, Chantal (eds.) Advances in Information Retrieval - 31th European Conference on IR Research - ECIR 2009 April 6-9, 2009, 2009, Toulouse, France. pp. 177-188. https://dx.doi.org/10.1007/978-3-642-00958-7_18

Karimzadehgan, Maryam, Zhai, Chengxiang (2012): Axiomatic analysis of translation language model for information retrieval. In: Proceedings of the 2012 BCS-IRSG European Conference on Information Retrieval , 2012, . pp. 268-280. https://dx.doi.org/10.1007/978-3-642-28997-2_23

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