|NOM DE FICHIER||Learning to Rank for Information Retrieval.pdf|
|TAILLE DU FICHIER||6,41 MB|
|DATE DE PUBLICATION||2011-May-01|
Learning to rank for information retrieval. Learning to rank is a family of algorithms that deal with ordering data. This family is a part of supervised machine learning; to order the data, we need to know which items are more important and need to be shown first.
In SIGIR 2008 workshop on Learning to Rank for Information Retrieval, 2008. Z. Zheng, H. Zha, and etc. A general boosting method and its application to learning ranking functions for web search. In NIPS 2007, 2007. K. Zhou, G.-R. Xue, H. Zha, and Y. Yu. Learning to rank with ties. In SIGIR 2008, pages 275-282, 2008. O. Zoeter, M. Taylor, E. Snelson, J. Guiver, N. Craswell, and M. Szummer. A ...