Improving CRM 2.0 through Collective Intelligence by Using CBIR Algorithms

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Author(s): Yuliana Perez-Gallardo (InstitutoTecnólogico de Orizaba, México), Giner Alor-Hernandez (InstitutoTecnólogico de Orizaba, México)and Guillermo Cortes-Robles (InstitutoTecnólogico de Orizaba, México)
Copyright: 2012
Pages: 21
Source title: Customer Relationship Management and the Social and Semantic Web: Enabling Cliens Conexus
Source Author(s)/Editor(s): Ricardo Colomo-Palacios (Østfold University College, Norway), João Varajão (University of Trás-os-Montes e Alto Douro, Portugal)and Pedro Soto-Acosta (University of Murcia, Spain)
DOI: 10.4018/978-1-61350-044-6.ch003

Keywords: Business & Management / Business Science Reference / Consumer Management / E-Commerce

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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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