Emotion-Oriented eCommerce Systems

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dc.contributor.author LEON, SIMONE
dc.contributor.author NIKOV, ALEXANDER
dc.date.accessioned 2011-06-14T11:55:18Z
dc.date.available 2011-06-14T11:55:18Z
dc.date.issued 2010-06
dc.identifier.issn 1109-2777
dc.identifier.uri http://hdl.handle.net/2139/10102
dc.description.abstract During recent years, the use of intelligent systems in eCommerce has increased significantly, providing a new perspective on the overall online shopping experience. The rapid growth of eCommerce has motivated many studies on the relationship between website design, company reputation, and purchase intent. Understanding emotion is important in gaining insight on how to efficiently satisfy the needs of the eCommerce customer. Emotion recognition techniques based on modern mathematical models using computational intelligence are presented. Progression within this field of study is highlighted. The requirements for designing of intelligent emotion-oriented eCommerce systems are defined. A model for simulation of intelligent emotion-oriented eCommerce systems is proposed. It is an important tool supporting the experimental study and design of emotion-oriented eCommerce systems en_US
dc.language.iso en en_US
dc.subject eCommerce en_US
dc.subject Emotion Recognition en_US
dc.subject Computational Intelligence en_US
dc.subject Modelling en_US
dc.subject Affect en_US
dc.title Emotion-Oriented eCommerce Systems en_US
dc.type Article en_US


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