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Improving CRM 2.0 through Collective Intelligence by Using CBIR Algorithms

Improving CRM 2.0 through Collective Intelligence by Using CBIR Algorithms

Yuliana Perez-Gallardo, Giner Alor-Hernandez, Guillermo Cortes-Robles
Copyright: © 2012 |Pages: 21
ISBN13: 9781613500446|ISBN10: 1613500440|EISBN13: 9781613500453
DOI: 10.4018/978-1-61350-044-6.ch003
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MLA

Perez-Gallardo, Yuliana, et al. "Improving CRM 2.0 through Collective Intelligence by Using CBIR Algorithms." Customer Relationship Management and the Social and Semantic Web: Enabling Cliens Conexus, edited by Ricardo Colomo-Palacios, et al., IGI Global, 2012, pp. 39-59. https://doi.org/10.4018/978-1-61350-044-6.ch003

APA

Perez-Gallardo, Y., Alor-Hernandez, G., & Cortes-Robles, G. (2012). Improving CRM 2.0 through Collective Intelligence by Using CBIR Algorithms. In R. Colomo-Palacios, J. Varajão, & P. Soto-Acosta (Eds.), Customer Relationship Management and the Social and Semantic Web: Enabling Cliens Conexus (pp. 39-59). IGI Global. https://doi.org/10.4018/978-1-61350-044-6.ch003

Chicago

Perez-Gallardo, Yuliana, Giner Alor-Hernandez, and Guillermo Cortes-Robles. "Improving CRM 2.0 through Collective Intelligence by Using CBIR Algorithms." In Customer Relationship Management and the Social and Semantic Web: Enabling Cliens Conexus, edited by Ricardo Colomo-Palacios, João Varajão, and Pedro Soto-Acosta, 39-59. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-044-6.ch003

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Abstract

With the implementation of CBIR paradigms and Collective Intelligence into Web 2.0 application, CRM 2.0 can be improved by providing a new strategy for presenting products or services. This integration materializes a link where customers have the ability to enrich their search before the purchase; to effectively compare products, and to clarify their preferences. Finally, it is important to underline that the proposed integration represents a decision support in the feedback phase of CRM.

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