Personalized Information Retrieval Systems: Using Computational Intelligence Techniques - Couverture souple

Veningston, Koildurai; Shanmugalakshmi, Ramachandran

9783330067677: Personalized Information Retrieval Systems: Using Computational Intelligence Techniques

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ISBN 10 : 3330067675 ISBN 13 : 9783330067677

Editeur : LAP LAMBERT Academic Publishing, 2017

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The major issues with Information Retrieval (IR) system are the huge collection of information available on the web and query keywords used by users often are short, confusing, and ambiguous. Users are often not wishing to see long list of results presented by the retrieval systems to find relevant information. It has been observed that users typically view only top few results comes in first few pages. This book is intended to review the issues in recent developments in personalizing IR and to discuss the development of new techniques targeted to resolve the issues associated with IR by means of re-ranking search results and search query reformulations. The book investigates the issues in personalizing IR and focusing on user profile representation and exploitation. It is observed that the process of acquisition and representation of user profile could be improved for the effectiveness of document re-ranking and query reformulation in retrieval process. This book also discusses the various evaluation measures applicable to measure the performance of personalization approaches in IR. The contribution of the book is of four folds. The detailed investigations are given inside.

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� propos de l?auteur

Veningston. K is an Associate Professor in the Department of Computer Science and Engineering, Madanapalle Institute of Technology & Science. He holds Ph.D. in Computer Science and Engineering from Anna University. He is specialized in Databases, Information Retrieval & Data Analytics. He is a recipient of Senior Research Fellow from DST, INDIA.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurLAP LAMBERT Academic Publishing
Date d'�dition2017
ISBN 10 3330067675
ISBN 13 9783330067677
ReliureBroch�
Langueanglais
Nombre de pages260
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Personalized Information Retrieval Systems

Koildurai Veningston|Ramachandran Shanmugalakshmi

Edit� par LAP LAMBERT Academic Publishing, 2017

ISBN 10 : 3330067675 ISBN 13 : 9783330067677

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Veningston KoilduraiVeningston. K is an Associate Professor in the Department of Computer Science and Engineering, Madanapalle Institute of Technology & Science. He holds Ph.D. in Computer Science and Engineering from Anna University. N� de r�f. du vendeur 158217920

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Personalized Information Retrieval Systems : Using Computational Intelligence Techniques

Koildurai Veningston

Edit� par LAP LAMBERT Academic Publishing, 2017

ISBN 10 : 3330067675 ISBN 13 : 9783330067677

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The major issues with Information Retrieval (IR) system are the huge collection of information available on the web and query keywords used by users often are short, confusing, and ambiguous. Users are often not wishing to see long list of results presented by the retrieval systems to find relevant information. It has been observed that users typically view only top few results comes in first few pages. This book is intended to review the issues in recent developments in personalizing IR and to discuss the development of new techniques targeted to resolve the issues associated with IR by means of re-ranking search results and search query reformulations. The book investigates the issues in personalizing IR and focusing on user profile representation and exploitation. It is observed that the process of acquisition and representation of user profile could be improved for the effectiveness of document re-ranking and query reformulation in retrieval process. This book also discusses the various evaluation measures applicable to measure the performance of personalization approaches in IR. The contribution of the book is of four folds. The detailed investigations are given inside. N� de r�f. du vendeur 9783330067677

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Personalized Information Retrieval Systems

Koildurai Veningston

Edit� par LAP LAMBERT Academic Publishing Jul 2017, 2017

ISBN 10 : 3330067675 ISBN 13 : 9783330067677

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The major issues with Information Retrieval (IR) system are the huge collection of information available on the web and query keywords used by users often are short, confusing, and ambiguous. Users are often not wishing to see long list of results presented by the retrieval systems to find relevant information. It has been observed that users typically view only top few results comes in first few pages. This book is intended to review the issues in recent developments in personalizing IR and to discuss the development of new techniques targeted to resolve the issues associated with IR by means of re-ranking search results and search query reformulations. The book investigates the issues in personalizing IR and focusing on user profile representation and exploitation. It is observed that the process of acquisition and representation of user profile could be improved for the effectiveness of document re-ranking and query reformulation in retrieval process. This book also discusses the various evaluation measures applicable to measure the performance of personalization approaches in IR. The contribution of the book is of four folds. The detailed investigations are given inside. 260 pp. Englisch. N� de r�f. du vendeur 9783330067677

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Personalized Information Retrieval Systems

Koildurai Veningston

Edit� par LAP LAMBERT Academic Publishing Jul 2017, 2017

ISBN 10 : 3330067675 ISBN 13 : 9783330067677

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -The major issues with Information Retrieval (IR) system are the huge collection of information available on the web and query keywords used by users often are short, confusing, and ambiguous. Users are often not wishing to see long list of results presented by the retrieval systems to find relevant information. It has been observed that users typically view only top few results comes in first few pages. This book is intended to review the issues in recent developments in personalizing IR and to discuss the development of new techniques targeted to resolve the issues associated with IR by means of re-ranking search results and search query reformulations. The book investigates the issues in personalizing IR and focusing on user profile representation and exploitation. It is observed that the process of acquisition and representation of user profile could be improved for the effectiveness of document re-ranking and query reformulation in retrieval process. This book also discusses the various evaluation measures applicable to measure the performance of personalization approaches in IR. The contribution of the book is of four folds. The detailed investigations are given inside.Books on Demand GmbH, �berseering 33, 22297 Hamburg 260 pp. Englisch. N� de r�f. du vendeur 9783330067677

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