Using gradient descent to optimize language modeling smoothing parameters

Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07

Volumn , Issue , 2007, Pages 687-688

  Metzler, Donald ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

Gradient descent; Language modeling; Parameter estimation

Indexed keywords

EID: 36448992580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1277741.1277859     Document Type: Conference Paper

References (3)

1. C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. Learning to rank using gradient descent. In ICML '05: Proceedings of the 22nd international conference on Machine learning, pages 89-96, 2005.
2. M. Taylor, H. Zaragoza, N. Craswell, S. Robertson, and C. Burges. Optimisation methods for ranking functions with multiple parameters. In Proc. 15th CIKM, pages 585-593, 2006.
3. C. Zhai and J. Lafferty. Two-stage language models for information retrieval. In Proc. 25th SIGIR, pages 49-56. 2002.