Librería:
preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 5 de agosto de 2024
A Parameterized Approach to Deal with Review Spammers | Tanya Gera (u. a.) | Taschenbuch | 104 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659830778 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de ref. del artículo 103975889
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.
Reseña del editor: 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.
Título: A Parameterized Approach to Deal with Review...
Editorial: LAP LAMBERT Academic Publishing
Año de publicación: 2016
Encuadernación: Taschenbuch
Condición: Neu
Librería: moluna, Greven, Alemania
Condición: 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. Nº de ref. del artículo: 159146148
Cantidad disponible: Más de 20 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Nº de ref. del artículo: 9783659830778
Cantidad disponible: 1 disponibles
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659830778
Cantidad disponible: 2 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659830778
Cantidad disponible: 1 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26404101852
Cantidad disponible: 4 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock. Nº de ref. del artículo: 3659830771
Cantidad disponible: 1 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand. Nº de ref. del artículo: 409052419
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18404101846
Cantidad disponible: 4 disponibles
Librería: Mispah books, Redhill, SURRE, Reino Unido
paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA82936598307716
Cantidad disponible: 1 disponibles