Relevance ranking for vertical search engines
In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. T...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Morgan Kaufmann, an imprint of Elsevier
2014.
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| Edición: | 1st edition |
| Colección: | Gale eBooks
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627909906719 |
| Sumario: | In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. This reference book for professionals covers concepts and theories from the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such |
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| Notas: | Description based upon print version of record. |
| Descripción Física: | 1 online resource (xxiii, 239 pages) : illustrations (some color) |
| Bibliografía: | Includes bibliographical references and indexes. |
| ISBN: | 9780124072022 |
