Intelligent Emotion-Oriented eCommerce Systems

نویسندگان

  • SIMONE LEON
  • ALEXANDER NIKOV
چکیده

Emotion-oriented eCommerce is a new research field. Intelligent 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. Key-Words: eCommerce, Emotion recognition, Computational intelligence, Modelling, Affect

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تاریخ انتشار 2010