Learning to rank for information retrieval and natural language processing [electronic resource] / Hang Li.
Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on the problem recently and significant prog...
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| Online Access: |
Full Text (via Morgan & Claypool) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
©2011.
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| Series: | Synthesis lectures on human language technologies (Online) ;
# 12. |
| Subjects: |
Internet
Full Text (via Morgan & Claypool)Online
| Call Number: |
QA278.75 .L55 2011eb
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| QA278.75 .L55 2011eb | Available |