Screen LibraryLearning to rank for information retrieval and natural language processing
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| Main Authors: | |
|---|---|
| Published: |
Morgan & Claypool Publishers,
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| Publisher Address: | [San Rafael, Calif.] |
| Publication Dates: | c2011. |
| Literature type: | Book |
| Language: | English |
| Series: |
Synthesis lectures on human language technology, ; #12 |
| Subjects: | |
| Carrier Form: | ix, 101 p.: ill. ; 24 cm. |
| ISBN: |
9781608457076 (pbk.) 1608457079 (pbk.) |
| Index Number: | O212 |
| CLC: | O212 |
| Call Number: | O212/L693-1 |
| Contents: |
Includes bibliographical references (p. 89-100). 1. Learning to rank --- 2. Learning for ranking creation --- 3. Learning for ranking aggregation --- 4. Methods of learning to rank --- 5. Applications of learning to rank --- 6. Theory of learning to rank --- 7. Ongoing and future work. 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 conduct |