Publicado por LAP LAMBERT Academic Publishing Dez 2010, 2010
ISBN 10: 3843382786 ISBN 13: 9783843382786
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 49,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -The World Wide Web (WWW) contains a huge amount of information and more is being added to it constantly. Search engines retrieve a large amount of information in response to a query, from which, the user has to select some amount of information to satisfy her information need. Often, information is distributed over multiple web pages. It is a tedious task for the user to go through all the web pages to fulfill her need. In this context, a query specific text summarization would be of great help to the user. Query specific text summarization on multiple documents is more challenging than summarization on single document. Issues like, ordering of sentences extracted from different documents, scalability, efficiency etc., will be there in multiple document summarization. All the multiple document summarizers in the literature concentrate on generating a summary that is informative. Very less or no emphasis was given to coherence and efficiency. This work exclusively deals with efficiency of the summarization task.Books on Demand GmbH, Überseering 33, 22297 Hamburg 112 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843382786 ISBN 13: 9783843382786
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 173,69
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Añadir al carritopaperback. Condición: New. New. book.
Publicado por LAP LAMBERT Academic Publishing Dez 2010, 2010
ISBN 10: 3843382786 ISBN 13: 9783843382786
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 49,00
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The World Wide Web (WWW) contains a huge amount of information and more is being added to it constantly. Search engines retrieve a large amount of information in response to a query, from which, the user has to select some amount of information to satisfy her information need. Often, information is distributed over multiple web pages. It is a tedious task for the user to go through all the web pages to fulfill her need. In this context, a query specific text summarization would be of great help to the user. Query specific text summarization on multiple documents is more challenging than summarization on single document. Issues like, ordering of sentences extracted from different documents, scalability, efficiency etc., will be there in multiple document summarization. All the multiple document summarizers in the literature concentrate on generating a summary that is informative. Very less or no emphasis was given to coherence and efficiency. This work exclusively deals with efficiency of the summarization task. 112 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843382786 ISBN 13: 9783843382786
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 41,05
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chowdary RavindranathRavindranath Chowdary C, holds B.E in Information Science and Engineering from MSRIT Bangalore and M.E in Computer Science and Engineering from UVCE, Bangalore. He pursued his PhD in the area of Information Extra.
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843382786 ISBN 13: 9783843382786
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,00
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The World Wide Web (WWW) contains a huge amount of information and more is being added to it constantly. Search engines retrieve a large amount of information in response to a query, from which, the user has to select some amount of information to satisfy her information need. Often, information is distributed over multiple web pages. It is a tedious task for the user to go through all the web pages to fulfill her need. In this context, a query specific text summarization would be of great help to the user. Query specific text summarization on multiple documents is more challenging than summarization on single document. Issues like, ordering of sentences extracted from different documents, scalability, efficiency etc., will be there in multiple document summarization. All the multiple document summarizers in the literature concentrate on generating a summary that is informative. Very less or no emphasis was given to coherence and efficiency. This work exclusively deals with efficiency of the summarization task.