Tell your friends about this item:
Learning to Rank for Information Retrieval Tie-Yan Liu 2011 edition
Learning to Rank for Information Retrieval
Tie-Yan Liu
He continues with some recent advances in learning to rank that cannot be simply categorized into the three major approaches - these include relational ranking, query-dependent ranking, transfer ranking, and semisupervised ranking.
285 pages, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | September 29, 2014 |
| ISBN13 | 9783642441240 |
| Publishers | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 285 |
| Dimensions | 155 × 235 × 16 mm · 426 g |
| Language | English |
Christmas presents can be returned until 31 January