Articles liés à Web Search Evaluation- Need and Methods
Synopsis
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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Présentation de l'éditeur
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.
Biographie de l'auteur
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
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LAP LAMBERT Academic Publishing, 2013
ISBN 10 : 3659381071
ISBN 13 : 9783659381072
Neuf
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Etat : 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. N° de réf. du vendeur 5152460
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Web Search Evaluation- Need and Methods
Edité par
LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10 : 3659381071
ISBN 13 : 9783659381072
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659381072
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Web Search Evaluation- Need and Methods
Edité par
LAP LAMBERT Academic Publishing, 2013
ISBN 10 : 3659381071
ISBN 13 : 9783659381072
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659381072
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Web Search Evaluation- Need and Methods
Edité par
LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10 : 3659381071
ISBN 13 : 9783659381072
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659381072
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Web Search Evaluation- Need and Methods
Edité par
LAP LAMBERT Academic Publishing, 2013
ISBN 10 : 3659381071
ISBN 13 : 9783659381072
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