| dc.creator | LEON, SIMONE | |
| dc.creator | NIKOV, ALEXANDER | |
| dc.date.accessioned | 2011-06-14T11:55:18Z | |
| dc.date.accessioned | 2019-08-05T18:05:33Z | |
| dc.date.available | 2011-06-14T11:55:18Z | |
| dc.date.available | 2019-08-05T18:05:33Z | |
| dc.date.created | 2011-06-14T11:55:18Z | |
| dc.date.issued | 2010-06 | |
| dc.identifier | 1109-2777 | |
| dc.identifier | http://hdl.handle.net/2139/10102 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3013246 | |
| 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 | |
| dc.language | en | |
| dc.subject | eCommerce | |
| dc.subject | Emotion Recognition | |
| dc.subject | Computational Intelligence | |
| dc.subject | Modelling | |
| dc.subject | Affect | |
| dc.title | Emotion-Oriented eCommerce Systems | |
| dc.type | Article | |
