Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference22 articles.
1. Y. Wang, L. Wang, Y. Li, D. He, T.-Y. Liu, A theoretical analysis of NDCG type ranking measures, in: Proc. of the 26th Annual Conference on Learning Theory, 2013, pp. 25–54.
2. O. Chapelle, D. Metlzer, Y. Zhang, P. Grinspan, Expected reciprocal rank for graded relevance, in: Proc. of the 18th ACM Conference on Information and Knowledge Management, 2009, pp. 621–630.
3. A general theory of IR evaluation measures;Ferrante;IEEE Trans. Knowl. Data Eng.,2018
4. A general approximation framework for direct optimization of information retrieval measures;Qin;Inform. Retr.,2010
5. S. Bruch, M. Zoghi, M. Bendersky, M. Najork, Revisiting approximate metric optimization in the age of deep neural networks, in: Proc. of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019, pp. 1241–1244.