|NOM DE FICHIER||Learning to Rank for Information Retrieval.pdf|
|TAILLE DU FICHIER||6,12 MB|
|DATE DE PUBLICATION||2011-May-01|
Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. Training data consists of lists of items with some partial order specified between items in each list. This order is typically induced by giving a numerical or ordinal ...
Lisez « Learning to Rank for Information Retrieval » de Tie-Yan Liu disponible chez Rakuten Kobo. Due to the fast growth of the Web and the difficulties in finding desired information, efficient and effective informati...