A Parameterized Approach to Deal with Review Spammers - Couverture souple

Gera, Tanya; Singh, Jaiteg

9783659830778: A Parameterized Approach to Deal with Review Spammers

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ISBN 10 : 3659830771 ISBN 13 : 9783659830778

Editeur : LAP LAMBERT Academic Publishing, 2016

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Today, E-commerce web sites are providing huge number of platforms for users in which they can express their views, their opinions and post their reviews about the products on the web. Such content contributed by users is available for other customers and manufacturers as a valuable source of information. Though these reviews are important source of information but quality control on this user generated data is not assured. As the popularity of Ecommerce sites are immensely increasing, quality of the reviews is getting worse day by day thereby affecting customers’ buying decisions. Spammers may either post positive comments to promote a product/brand or negative comments having intention of demoting a product/brand. Unfortunately, many organizations are making money by doing such activities. Spammers are also heavily paid by such organizations for writing fake reviews for the target products on web. In this work, we take a different approach to detect suspicious review, suspicious reviewers and suspicious reviewers’ group considering geographical statistics and networking parameters.

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Pr�sentation de l'�diteur

Biographie de l'auteur

Tanya Gera did her Masters in Engineering in 2015 and has expertise in opinion mining and networking.Dr. Jaiteg Singh did his Ph.D. (C.S.E.) in the year 2010. He has published numerous research papers in various national and international journals of repute, including four books and two U.S Copyrights.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2016
Langue: anglais
ISBN 10: 3659830771
ISBN 13: 9783659830778
Reliure: Broch�
Nombre de pages: 104
Coordonn�es du fabricant: non disponible

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A Parameterized Approach to Deal with Review Spammers

Tanya Gera|Jaiteg Singh

Edit� par LAP LAMBERT Academic Publishing, 2016

ISBN 10 : 3659830771 ISBN 13 : 9783659830778

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gera TanyaTanya Gera did her Masters in Engineering in 2015 and has expertise in opinion mining and networking.Dr. Jaiteg Singh did his Ph.D. (C.S.E.) in the year 2010. He has published numerous research papers in various national an. N� de r�f. du vendeur 159146148

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A Parameterized Approach to Deal with Review Spammers

Tanya Gera

Edit� par LAP LAMBERT Academic Publishing, 2016

ISBN 10 : 3659830771 ISBN 13 : 9783659830778

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Today, E-commerce web sites are providing huge number of platforms for users in which they can express their views, their opinions and post their reviews about the products on the web. Such content contributed by users is available for other customers and manufacturers as a valuable source of information. Though these reviews are important source of information but quality control on this user generated data is not assured. As the popularity of Ecommerce sites are immensely increasing, quality of the reviews is getting worse day by day thereby affecting customers' buying decisions. Spammers may either post positive comments to promote a product/brand or negative comments having intention of demoting a product/brand. Unfortunately, many organizations are making money by doing such activities. Spammers are also heavily paid by such organizations for writing fake reviews for the target products on web. In this work, we take a different approach to detect suspicious review, suspicious reviewers and suspicious reviewers' group considering geographical statistics and networking parameters. N� de r�f. du vendeur 9783659830778

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A Parameterized Approach to Deal with Review Spammers

Tanya Gera

Edit� par LAP LAMBERT Academic Publishing Jan 2016, 2016

ISBN 10 : 3659830771 ISBN 13 : 9783659830778

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Today, E-commerce web sites are providing huge number of platforms for users in which they can express their views, their opinions and post their reviews about the products on the web. Such content contributed by users is available for other customers and manufacturers as a valuable source of information. Though these reviews are important source of information but quality control on this user generated data is not assured. As the popularity of Ecommerce sites are immensely increasing, quality of the reviews is getting worse day by day thereby affecting customers' buying decisions. Spammers may either post positive comments to promote a product/brand or negative comments having intention of demoting a product/brand. Unfortunately, many organizations are making money by doing such activities. Spammers are also heavily paid by such organizations for writing fake reviews for the target products on web. In this work, we take a different approach to detect suspicious review, suspicious reviewers and suspicious reviewers' group considering geographical statistics and networking parameters. 104 pp. Englisch. N� de r�f. du vendeur 9783659830778

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A Parameterized Approach to Deal with Review Spammers

Tanya Gera

Edit� par LAP LAMBERT Academic Publishing Jan 2016, 2016

ISBN 10 : 3659830771 ISBN 13 : 9783659830778

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -Today, E-commerce web sites are providing huge number of platforms for users in which they can express their views, their opinions and post their reviews about the products on the web. Such content contributed by users is available for other customers and manufacturers as a valuable source of information. Though these reviews are important source of information but quality control on this user generated data is not assured. As the popularity of Ecommerce sites are immensely increasing, quality of the reviews is getting worse day by day thereby affecting customers� buying decisions. Spammers may either post positive comments to promote a product/brand or negative comments having intention of demoting a product/brand. Unfortunately, many organizations are making money by doing such activities. Spammers are also heavily paid by such organizations for writing fake reviews for the target products on web. In this work, we take a different approach to detect suspicious review, suspicious reviewers and suspicious reviewers� group considering geographical statistics and networking parameters.Books on Demand GmbH, �berseering 33, 22297 Hamburg 104 pp. Englisch. N� de r�f. du vendeur 9783659830778

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