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Sinopsis
This work discusses need and methods of Web search evaluation. The work covers an excellent review of different efforts made in the area. The work discusses the use of different classical content based techniques like Vector Space Model, Boolean Similarity Measures and connectivity based techniques like PageRank for Web search evaluation. The work emphasizes the importance of user feedback based evaluation. But, at the same time, it points out the limitation of user feedback based evaluation in terms of scalability and cost. The work discusses a comprehensive Web search evaluation system where different evaluation techniques are aggregated using rank aggregation techniques. The work discusses in detail many rank aggregation methods for the Web. Finally, the work discusses the architecture of an automatic Web search evaluation system. In this system, different content and connectivity based techniques are combined using rough set based rank aggregation. In rough set based rank aggregation, ranking rules are learnt from the user feedback for the queries in the training set using rough set theory. These rules are then used for combining different Web search evaluation techniques.
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Reseña del editor
This work discusses need and methods of Web search evaluation. The work covers an excellent review of different efforts made in the area. The work discusses the use of different classical content based techniques like Vector Space Model, Boolean Similarity Measures and connectivity based techniques like PageRank for Web search evaluation. The work emphasizes the importance of user feedback based evaluation. But, at the same time, it points out the limitation of user feedback based evaluation in terms of scalability and cost. The work discusses a comprehensive Web search evaluation system where different evaluation techniques are aggregated using rank aggregation techniques. The work discusses in detail many rank aggregation methods for the Web. Finally, the work discusses the architecture of an automatic Web search evaluation system. In this system, different content and connectivity based techniques are combined using rough set based rank aggregation. In rough set based rank aggregation, ranking rules are learnt from the user feedback for the queries in the training set using rough set theory. These rules are then used for combining different Web search evaluation techniques.
Biografía del autor
Rashid Ali obtained his B.Tech. and M.Tech. from A.M.U. Aligarh, India in 1999 and 2001 respectively. He obtained his PhD in Computer Engineering in February 2010 from A.M.U. Aligarh. His PhD work was on Performance Evaluation of Web Search Engines. His research interests include Web-Searching, Web-Mining, Image Retrieval and Soft Computing.
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Web Search Evaluation- Need and Methods
Publicado por
LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659381071
ISBN 13: 9783659381072
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work discusses need and methods of Web search evaluation. The work covers an excellent review of different efforts made in the area. The work discusses the use of different classical content based techniques like Vector Space Model, Boolean Similarity Measures and connectivity based techniques like PageRank for Web search evaluation. The work emphasizes the importance of user feedback based evaluation. But, at the same time, it points out the limitation of user feedback based evaluation in terms of scalability and cost. The work discusses a comprehensive Web search evaluation system where different evaluation techniques are aggregated using rank aggregation techniques. The work discusses in detail many rank aggregation methods for the Web. Finally, the work discusses the architecture of an automatic Web search evaluation system. In this system, different content and connectivity based techniques are combined using rough set based rank aggregation. In rough set based rank aggregation, ranking rules are learnt from the user feedback for the queries in the training set using rough set theory. These rules are then used for combining different Web search evaluation techniques. 236 pp. Englisch. Nº de ref. del artículo: 9783659381072
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Web Search Evaluation- Need and Methods
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659381071
ISBN 13: 9783659381072
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ali RashidRashid Ali obtained his B.Tech. and M.Tech. from A.M.U. Aligarh, India in 1999 and 2001 respectively. He obtained his PhD in Computer Engineering in February 2010 from A.M.U. Aligarh. His PhD work was on Performance Evaluat. Nº de ref. del artículo: 5152460
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Web Search Evaluation- Need and Methods
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659381071
ISBN 13: 9783659381072
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Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work discusses need and methods of Web search evaluation. The work covers an excellent review of different efforts made in the area. The work discusses the use of different classical content based techniques like Vector Space Model, Boolean Similarity Measures and connectivity based techniques like PageRank for Web search evaluation. The work emphasizes the importance of user feedback based evaluation. But, at the same time, it points out the limitation of user feedback based evaluation in terms of scalability and cost. The work discusses a comprehensive Web search evaluation system where different evaluation techniques are aggregated using rank aggregation techniques. The work discusses in detail many rank aggregation methods for the Web. Finally, the work discusses the architecture of an automatic Web search evaluation system. In this system, different content and connectivity based techniques are combined using rough set based rank aggregation. In rough set based rank aggregation, ranking rules are learnt from the user feedback for the queries in the training set using rough set theory. These rules are then used for combining different Web search evaluation techniques. Nº de ref. del artículo: 9783659381072
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Web Search Evaluation- Need and Methods
Publicado por
LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659381071
ISBN 13: 9783659381072
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work discusses need and methods of Web search evaluation. The work covers an excellent review of different efforts made in the area. The work discusses the use of different classical content based techniques like Vector Space Model, Boolean Similarity Measures and connectivity based techniques like PageRank for Web search evaluation. The work emphasizes the importance of user feedback based evaluation. But, at the same time, it points out the limitation of user feedback based evaluation in terms of scalability and cost. The work discusses a comprehensive Web search evaluation system where different evaluation techniques are aggregated using rank aggregation techniques. The work discusses in detail many rank aggregation methods for the Web. Finally, the work discusses the architecture of an automatic Web search evaluation system. In this system, different content and connectivity based techniques are combined using rough set based rank aggregation. In rough set based rank aggregation, ranking rules are learnt from the user feedback for the queries in the training set using rough set theory. These rules are then used for combining different Web search evaluation techniques.Books on Demand GmbH, Überseering 33, 22297 Hamburg 236 pp. Englisch. Nº de ref. del artículo: 9783659381072
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Web Search Evaluation- Need and Methods
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659381071
ISBN 13: 9783659381072
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Paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA79636593810716
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