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- W2742994785 abstract "With the improvement of people’s living standard, users of commodity experience requirements are getting more and more attention and shopping business to consumers to provide products at the same time also need the service should be paid more attention, so that consumers in the shopping process to obtain the best shopping experience. Computer vision is the study of how to make the machine to “see” science, further, is refers to with camera and computer to replace human eyes on target recognition, tracking and measuring, such as machine vision, and further to do image processing, computer processing becomes more suitable for the human eye observation or send it to the instrument to detect the image. As a scientific subject, theory and technology of computer vision research related, trying to build can be obtained from images or the multidimensional data information system of artificial intelligence. Here refers to the information refers to the Shannon definition, can help to make a “decision” information. Because perception can be thought of to get information from sensory signals, so the computer vision also can be regarded as a research how to make artificial systems from the images or multidimensional data “perception” of science. In this paper, the main purpose of the introduction of artificial intelligence technology in transmission shopping platform website visual design usability analysis, through the relevant theoretical knowledge and visual elements of the shopping website of usability evaluation and improvement, using questionnaire method to analyze the improved website and traditional website. To sum up some of the design methods and principles of shopping website interface." @default.
- W2742994785 created "2017-08-17" @default.
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- W2742994785 date "2017-08-08" @default.
- W2742994785 modified "2023-09-26" @default.
- W2742994785 title "Application of Artificial Intelligence Technology in the Visual Communication Design of Shopping Platform" @default.
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- W2742994785 doi "https://doi.org/10.1007/978-3-319-60744-3_13" @default.
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